Job Opportunity: Marketing Manager/Campaign Manager
Location: LHR16
Contract Type: Temporary (12 months)
Daily Rate: £300 - £350
Working Pattern: Full Time (Flexible Remote Option)

Are you ready to make a significant impact in the E-commerce world? Join our client, a leading organisation in the E-commerce sector, as a Marketing Manager/Campaign Manager! This is a unique opportunity to leverage your marketing expertise and take our European grocery business to the next level.

What You’ll Do:

• Lead the end-to-end execution of traffic campaigns across Amazon’s Owned & Operated (O&O) channels in multiple European languages.
• Collaborate closely with local marketing teams to ensure seamless coordination on campaign details, copy, and creative.
• Utilise automation tools to streamline processes and enhance efficiency.
• Monitor campaign performance in Real Time and optimise as needed to meet target metrics.
• Work with the central analytics team to generate insights that will inform future campaign strategies.
• Conduct thorough reviews of all campaign assets to ensure they meet brand guidelines and resolve any issues pre-launch.
• Serve as the local market expert, providing guidance and support for scheduling and coordination across multiple campaigns.

Who You Are:

• A proactive marketing or programme management professional with a strong grasp of the Amazon leadership principles: Deliver Results, Ownership, Earn Trust, Insist on the Highest Standards, and Deep Dive.
• Experienced in managing traffic campaigns in the E-commerce or grocery industry.
• Comfortable navigating ambiguous environments and skilled at leveraging technical tools and processes.
• Possess excellent project and stakeholder management skills, ensuring effective communication and collaboration.

Your Skills:

• Bachelor’s degree in management, business administration, economics, engineering, or marketing.
• German native/fluent speaker with fluency in English (both written and spoken).
• Strong analytical skills with experience in data analysis tools like Excel and Tableau.
• Proficiency in marketing tools, including CRM and life cycle marketing platforms.
• Exceptional attention to detail and problem-solving skills with the ability to multitask effectively.

Why Join Us?

• Be part of a rapidly growing business where your contributions will be valued.
• Collaborate with a dynamic team that believes in data-driven excellence.
• Enjoy flexible working arrangements to maintain a healthy work-life balance.

Apply Today!
If you’re ready to step into this exciting role and bring your marketing expertise to life, we want to hear from you! This is your chance to be part of something special in the E-commerce landscape. Don’t miss out on this opportunity-apply now!

Contact: Please send your CV and cover letter to (see below)

We can’t wait to meet you and explore how you can make a difference with us!

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

• Project Manager (Data & Systems Integration)
• Hybrid-working (West London + WFH)
• 360 per day
• 12-month contract (Inside IR35 / via Umbrella)

The Opportunity:

We are working with a highly regarded organisation seeking an experienced Project Manager to lead the integration and optimisation of critical business systems and data platforms.

This is a high-impact role sitting at the intersection of data, systems and operational delivery, where you will play a key role in ensuring the accuracy, integrity and usability of data across the organisation.

You will take ownership of data integration and migration initiatives, working closely with internal stakeholders, external vendors and leadership teams to deliver a unified tracking platform that enables consistent reporting, forecasting and informed decision-making.

Skills and Experience:

• Proven experience in Project Management, Programme Delivery or Data Operations
• Strong track record delivering data integration, migration or system implementation projects
• Experience working in complex or regulated environments (e.g. life sciences, healthcare, finance, pharmaceutical, etc.)
• Excellent stakeholder management and ability to operate across multiple teams and seniority levels
• Experience managing third-party vendors and delivery partners
• High attention to detail with a strong focus on data quality and governance
• Ability to translate business needs into clear, structured delivery plans
• Experience driving user adoption and change across systems and tools

Desirable Experience:

• Experience with Planisware or similar portfolio/project tracking tools
• Exposure to Business Intelligence / Data Analytics tools (e.g. Power BI, Tableau)
• Familiarity with AI-driven analytics or forecasting tools
• Experience working alongside Evidence Generation or data-driven business functions

Role and Responsibilities:

• Lead the integration and migration of data from multiple systems into a unified platform
• Own and manage business requirements, translating them into clear technical specifications and delivery plans
• Act as the central point of coordination between vendors, internal teams and senior stakeholders
• Manage risks, issues, and dependencies, ensuring projects remain on track
• Partner with key business functions to ensure data quality, accuracy and completeness across systems
• Take ownership of system data integrity, ensuring alignment with financial and operational systems of record
• Act as a Subject Matter Expert (SME) for key platforms, including Planisware
• Develop and deliver training materials and documentation to support user adoption
• Identify and support implementation of data analytics, AI and BI tools to enhance forecasting and decision-making
• Build strong internal relationships to align processes, systems and ways of working
• Drive continuous improvement across tools, reporting, and operational processes

Applications:

Please contact Edward Laing here at ISR to learn more about our client and how they are leading the way in developing and executing on their strategy to bring life-saving therapies to patients through innovation and transformational technology?

Excellent opportunity Data Engineers for to be part of Cognizant’s Intelligent Process Automation practice, It combines advisory services with deep vendor partnerships and integrated solutions to create and execute strategic roadmaps.

Key Responsibilities:

• Gather business requirements, perform detailed analysis, and produce associated functional specifications across multiple functions
• Architect, design, cost and plan solutions that will support delivery teams as those solutions are implemented into live services.
• Writing SQL or Python/ R scripts to analyse data
• Develop Subject Matter Expertise on the key data elements
• Responsible for liaising between business users and technologists to exchange information in a concise, logical and understandable way in co-ordination with the Technology team.
• Ensuring proper development life cycle is followed with artefacts to support Internal Audit and any inquiries
• Consult with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards and recommends solutions
• Support systems change processes from requirements through implementation and provide input based on analysis of information
• Consult with business clients to determine system functional specifications and provides user and operational support
• Identify and communicate risks and impacts, considering business implications of the application of technology to the current business environment
• Has the ability to operate with a limited level of direct supervision
• Demonstrated ability to work under pressure to meet tight deadlines and approach work methodically with attention to detail
• Work with Data Governance and Quality teams to understand data issues
• Work with various technology leads to ensure the gaps in the data completeness or accuracy are converted into prioritized Book of Work items
• Provide regular updates to senior management in technology, middle office & front office
• Training of relevant teams prior to go-live of new business processes/products, functionality or applications
• Go-live support, investigation of issues

Essential Experience

• Providing database engineering and data delivery to support during application development, working closely with application teams
• Data Engineering to ingest, cleanse and collate data from a wide range of internal and external sources
• Creation of reconciliations of data sets
• Building analytical models to support reporting and analytics
• Creation of reports and analytics
• Experience facilitating workshops and discussions to effectively gather requirements and understand the client’s business challenges
• Able to produce proposed implementation plans for data analysis work, including estimated effort and technical implications of data insight products
• Able to review and comment on data models– for example pointing out why models are defective and suggesting improvements.
• Clear written and verbal communications; able to communicate with a wide range of people.
• Strong leadership, analytical and communication skills with a passion for data-driven decision making and for establishing best practice
• Line management experience - able to give feedback and mentor more junior colleagues

Qualifications:

• Experience working with Azure, AWS or Google Cloud
• Experienced in IT architecture and software development lifecycles
• Experienced with structured and unstructured data
• Experience in combining qualitative and quantitative datasets
• Experienced in either programming languages such as Python and/or R, data visualization tools such as Tableau
• Experience working with large datasets
• Experience in creation of B/FRDs – Good documentation and communication with the technology team both to provide requirements and understanding of any issues is paramount
• Relevant experience in data-related topics - data warehousing, data governance, data quality, data profiling, master data management, ETL etc…
• Data modelling, from contextual through to logical and physical modelling skills
• Very strong Excel, SQL, Python, JIRA skills
• Excellent communication skills, structured and organized
• Excellent stakeholder and management reporting skills
• Experience with project planning and tracking, including agile software i.e. JIRA

The Group Investment Management (GIM) Team is hiring for a Senior Manager - Data Scientist to work in the Tooling and Data Team. Your ability to interpret and use data science and analytics to deliver your work and support the team is essential.

You will be able to use pro-actively measure and predict programme execution risk, using machine learning and AI to develop early warning risk indicators helping steer senior leadership attention to the parts of the portfolio where delivery of planned benefits and outcomes is at risk.

Your ability to present a suite of dashboards and metrics to provide senior management with tools for prioritisation and analysis will be key. The predictive risk metrics you will develop will allow timely management intervention, avoiding costly last minute write off and help foster a delivery discipline and delivery transparency culture.

You will play a pivotal role in transforming complex programme data into predictive insights that drive strategic investment decisions. You will take the lead on developing machine learning models and early warning indicators to proactively identify delivery risks across a multi-million-pound change portfolio. This is a unique opportunity to apply your data expertise in a high-impact, enterprise-level environment that values innovation, transparency, and delivery excellence.

Key Responsibilities

• Lead the design and implement machine learning models to predict programme delivery risks and financial overruns.
• Help integrate the insight generated into dashboards and visualisations (eg Power BI) to communicate insights to senior leadership, in collaboration with existing MI teams. Provide leadership to ensure that risk metrics and insights are actionable and trackable.
• Collaborate with senior stakeholders across the business to understand data needs and translate them into technical solutions.
• Conduct data cleaning, preprocessing, and integration from multiple sources (internal databases, APIs).
• Contribute to the development of the Group-wide delivery framework and assurance standards.
• Stay current with advancements in AI/ML and apply them to improve risk prediction and decision-making.
• Support the annual investment planning process with data-driven analysis and scenario

Required Experience & Qualifications

• Proficiency with Python or R, with experience in libraries such as scikit-learn, TensorFlow, or similar.
• Experience of LLM prompt engineering for systematic feature extraction from unstructured data.
• Strong SQL and data wrangling skills; experience with ETL processes.
• Solid understanding of statistical analysis and hypothesis testing.
• Experience building and deploying machine learning models in a business context
• Ability to communicate technical insights to non-technical audiences through visualisation tools (e.g., Tableau, matplotlib).
• Familiarity with fine tuning small LLM models to automate small topic extraction tasks from unstructured data.
• Familiarity with cloud platforms (e.g., AWS), especially AWS Bedrock and Snowflake data platform.
• Experience with enterprise programme management / PPM tools such as Clarity, Planview, Asana, and JIRA.
• Knowledge of SAP ERP and Workday systems data.
• Experience in financial services or programme delivery environments.
• Strong communication and collaboration skills.
• Self-starter with the ability to manage multiple priorities in a fast-paced environment.
• Commitment to continuous learning and innovation.

Career Stage:
Manager

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

BI Reporting Analyst (Contract)

Immediate start | Hybird working - Victoria | £250-285pd inside IR35 | Contract until 31st July (likely extension)

We’re working with a global organisation to hire a BI Reporting Analyst to support their Customer Success function (international markets), with a strong focus on growth, retention and account expansion. This is a highly visible role where you’ll play a key part in turning data into actionable insights, supporting decision-making across Customer Success, Sales and Marketing teams.

You’ll be responsible for building impactful dashboards, analysing performance and delivering insights that drive customer retention and revenue growth.

• Design and develop interactive dashboards to track retention and revenue performance
• Build and maintain scalable ETL pipelines to support data integration and reporting
• Use SQL (essential) and Python (desirable) for data extraction, manipulation and automation
• Support A/B testing and experimentation, analysing results and providing clear recommendations
• Deliver ad-hoc analysis and insights to Customer Success teams
• Provide historical data and benchmarks to support growth initiatives
• Translate complex data into clear, non-technical insights for stakeholders
• Partner closely with Customer Success, Sales and Marketing teams
• Present insights and recommendations in a clear, business-friendly way
• Act as a trusted advisor, helping teams make data-driven decisions

Skills & Experience:

Essential:

• Advanced SQL skills (must be able to write complex queries from scratch)
• Proven experience building dashboards using Tableau, Qlik Sense or similar tools
• Experience designing and maintaining ETL/data pipelines
• Strong stakeholder engagement and communication skills
• Ability to simplify complex data for non-technical audiences

Desirable:

• Experience with Python for data analysis
• Exposure to A/B testing and experimentation frameworks
• Background working with customer success or call centre data
• Experience with web/digital support data and KPIs
• Knowledge of statistical analysis or predictive modelling

What They’re Looking For:

• A data-driven professional with a track record of delivering insightful, user-friendly dashboards
• Someone comfortable working in a fast-paced, evolving environment
• A proactive individual who can work independently and influence stakeholders
• Strong problem-solving skills and attention to detail

Trade Operations and Systems Engineer （Chinese language skill is desired） We are seeking a highly skilled Trade Operations and Systems Engineer to oversee and optimise our day-to-day CFD trading operations, with a particular focus on trade execution monitoring, system automation, and the development engineer for trading P&L, open positions, and trade reconciliation. This role sits at the intersection of trading technology and operational risk management and requires a candidate with both deep technical capabilities and strong domain knowledge in FX and CFD trading. The successful candidate will be responsible for ensuring seamless and accurate trade execution, settlement, and reconciliation. The position requires hands-on experience with CFD trading platforms (such as MT4/MT5, PXM/OZ, XCore, Integal), database management, and FIX protocol integration, as well as the ability to streamline operational workflows through coding and automation. Candidates should be well-versed in supporting front-office trading teams and aligning back-office processes with regulatory standards and data accuracy requirements. Some responsibilities in this role involve communicating with clients and partners who primarily use Chinese, Chinese language proficiency (spoken and written) is highly desired. Key Responsibilities Trade Operations & System Development Monitor and manage CFD/FX trade executions, including real-time monitoring of trade flow and open positions across platforms. Maintain and improve systems for automated calculation of profit and loss (P&L), margin usage, and open positions using C++, Python, SQL, and related technologies. Develop robust automated workflows for trade settlement, transaction reconciliation, and risk exposure tracking. Ensure high system availability, stability, and performance for trading applications. Troubleshoot and optimise operational workflows across front, middle, and back-office environments. Trading Infrastructure & Protocol Management Integrate and manage trade bridge connections and APIs for trading execution and post-trade operations. Resolve issues related to trade discrepancies, latency, or order mismatches in FIX messaging. Assist in onboarding new liquidity providers and counterparties via FIX protocol and bridging platforms. Data Management, Reporting & Reconciliation Maintain and optimise relational databases to store large volumes of trade data for analysis and reporting. Implement ETL (Extract, Transform, Load) pipelines to ensure data accuracy between internal systems and third-party platforms. Create and manage interactive dashboards and performance reports using Power BI or Tableau. Conduct daily reconciliation between front office systems, back office, custodians, and liquidity providers. Compliance, Documentation & Operational Risk Ensure compliance with internal policies, industry regulations, and data protection laws (e.g., GDPR). Maintain detailed technical documentation covering system architecture, workflows, and exception handling procedures. Proactively identify and resolve operational risk incidents or anomalies in trading processes. Required Qualifications and Experience 2–5 years of experience in CFD/FX operations, trading systems engineering within the brokerage or banking industry. Solid understanding of CFD and FX trading instruments, market structure, and execution workflows. Hands-on experience with trading platforms including MT4/MT5, PXM/OZ, XCore, Integral, GUI, and other comparable systems, with proven capability in system integration and technical troubleshooting. Experience in trade lifecycle management, reconciliation, and exception resolution between front, middle, and back-office systems. Technical Skills Proficient in Python, SQL, C++, C#, and Java for developing automation tools, system integrations, and data transformation scripts. Strong database design and optimisation experience (SQL/NoSQL). Competence in building ETL pipelines, custom APIs, and data warehousing solutions. Skilled in Power BI or Tableau for real-time operational and financial reporting. Familiarity with bridging and aggregation platforms such as OneZero, Integral, and XCore GUI. Experience with distributed systems and high-volume data processing environments. Soft Skills Strong interpersonal and communication skills with the ability to collaborate cross-functionally with trading, compliance, risk, and IT teams. Ability to explain complex technical solutions to non-technical stakeholders. Resilient and calm under pressure in high-volume trading environments. Highly organised, with a proactive and analytical approach to problem-solving. Preferred Qualifications Bachelor's or Master’s degree in Computer Science, Financial Engineering, Quantitative Finance, Mathematics or a related discipline. Professional background in FX brokerage, liquidity management, or electronic trading. Fluency in Mandarin in desired. Performance-based bonus scheme with clear KPIs. Exposure to cutting-edge trading technologies and innovation in fintech. Opportunities for career development and training in advanced financial systems. Collaborative and agile working culture. Employment Type Full-Time, Permanent Work schedule: Monday to Friday Application Questions Do you hold a degree in Computer Science, Financial Engineering, or a related field? Do you have experience in FX operations, database development, or system engineering Are you fluent in Mandarin?

My leading technology client are looking for a talented and motivated Customer Service Manager to support their rapid growth into strategically important new markets. You’ll work with outsourced service providers, continuously enhance their customer service platforms and deliver a digital service model across their European operations.

You’ll align and evolve their customer service strategy, while using data to provide valuable recommendations to senior management.

This is a newly created role in a fast growing business. The team are high performing and very supportive. A brilliant opportunity!

The following skills/experience is essential:

• Strong Customer Service background
• Previously managed or overseen a Contact Centre
• Experience working with outsourced vendors
• Analytical skills (Excel)
• Any experience with Fraud Investigation is desirable
• Tableau, Power BI or similar tool is desirable
• Degree educated
• Excellent communication skills

Salary: Excellent + bonus + package

Location: London (good work from home options available)

If you are interested in this Customer Service Manager position and meet the above requirements please apply immediately.

Senior Data Analyst

Bromley - hybrid

12 month contract - extension possible

Inside ir35

Role Overview

We are looking for a Data Analyst to join our team and support the programme through meaningful, data driven insights. This is a highly collaborative role, working alongside business teams, technology partners, and data engineers to ensure data is accurate, well understood, and used effectively.

Job Description

Key Responsibilities:

• Data Collection: Gather data from internal databases, data warehouses, APIs, spreadsheets, and external sources, ensuring data is obtained in a usable, structured format.
• Data Cleaning & Preparation: Identify and correct errors, inconsistencies, and missing values. Transform raw data into analysis ready datasets (e.g., normalization, feature creation).
• Reporting & Visualization: Build dashboards and visual reports using tools like Power BI, Tableau, or Excel.
• Data Modelling & Forecasting: Create simple predictive models or forecasting methods when required.
• Data Governance: Ensure accuracy, consistency, and security of data assets. Document data sources, definitions, and transformation rules.

Required Skills

• Strong analytical and problem solving skills
• Proficiency in SQL and data querying
• Experience with data visualization tools (e.g. Power BI, Tableau)
• Understanding of data models and structured datasets
• Ability to communicate insights to both technical and non technical audiences
• Attention to detail and a structured approach to analysis

Desired Skills

• Curiosity and a desire to ask “why?”
• Persistence with messy or ambiguous data.
• Adaptability to rapidly changing business needs.

Primary Skill

Expertise in acquiring, handling, and manipulating large, complex data sets sourced from multiple disparate systems. This includes the ability to integrate structured and unstructured data, resolve data quality issues, and apply robust transformation techniques to produce reliable, analysis ready datasets

Secondary Skill

Ability to collaborate with Stakeholders to understand requirements. Adept at translating complex or high level stakeholder needs into clear, actionable, and measurable analytical tasks

If you believe you have the experience required, please apply with your CV now for instant consideration!

TO APPLY - PLEASE APPLY WITH AN UP-TO-DATE CV

Candidates will ideally show evidence of the above in their CV in order to be considered.

Please be advised if you haven’t heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone’s chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

With a reputation for being a stable and well-run global banking organisation, this global banking group has done an excellent job of steadily growing their business, retaining talent and developing the careers of its staff, while fostering a positive team-first working culture. Their Internal Audit function has a remit to further develop the department’s Data and Analytics capability and is looking for a Data & Analytics professional to support audit and credit related assignments across EMEA by leveraging data analytics and maintaining Computer Aided Auditing Tools (CAATs) for continuous auditing and monitoring.

This role sits within the Audit department and will be working with the Audit teams on a variety of assignments to investigate how the data within Bank systems may be analysed to assist the auditors in assessing the controls implemented.

Profile Requirements:

1. 1. Proficiency in data analytics tools (Python, R, ACL, SAS) and visualization platforms (Tableau, Power BI).
   2. Experience with databases (Oracle, SQL Server) and ETL tools (Alteryx, Talend, Informatica).
   3. Strong communication and interpersonal skills, including presenting insights to senior stakeholders.
   4. Ability to work independently and collaboratively across teams.
   5. Commercial awareness and understanding of business processes in Corporate Banking, Capital Markets, and Credit.
   6. Knowledge and understanding of using AI within Internal Audit would be advantageous.
   7. Experience of being within the data analytics team of an Internal Audit function

Responsibilities / Tasks:

• • Collaborating with Audit teams to deliver data-driven insights.
  • Developing dashboards, reports, and presentations for senior management.
  • Maintaining documentation and understanding of data structures across firm systems.
  • Supporting the delivery of approximately 80 internal audit reports annually.
  • Managing and prioritising data analytics requests and development pipelines.
  • Collaborating with team members and promoting adoption of analytics tools within the Audit department.

About Caxton Associates: Caxton Associates, founded in 1983, is a global trading and investment firm with offices in London, New York, Singapore, Monaco, Dubai and Bengaluru. Caxton Associates’ primary business is to manage client and proprietary capital through a suite of products designed to fit the specific needs of investors. Employing a multi-portfolio manager framework, Caxton excels in discretionary global macro investing, leveraging its diversified expertise across asset classes and markets. About the role: We are seeking a Database Engineer to join our London-based technology team. This is a hands-on role focused on design, development, and optimisation of the firm’s core data platforms. You will play a key role in shaping and scaling the firm’s data platform, directly supporting trading and investment decision-making. The role requires strong technical expertise, attention to data quality, and the ability to operate in a fast-paced, business-critical environment. Responsibilities: 1. Collaborate with Technology, Quant, and Risk teams to deliver data solutions for reporting and analytics 2. Design and implement scalable database schemas, tables, indexes, and stored procedures 3. Develop and maintain Python ETL pipelines for trade, position, and pricing data 4. Build and support reporting and visualization solutions using Tableau 5. Ensure data integrity, security, and high availability across production and non-production environments 6. Monitor and optimize database performance (query tuning, indexing, execution plans) 7. Work with AWS services (RDS, Aurora, S3) to build scalable, resilient data platforms 8. Perform database maintenance, including backups, recovery, and integrity checks 9. Implement database security best practices, including user permissions and roles 10. Create and maintain detailed documentation of database structures, processes, and best practices Experience: 1. At least 5 years experience working with relational databases 2. Strong SQL skills, including T-SQL, stored procedures, views, and functions 3. Proven experience in database design (normalisation, optimisation, indexing strategies) 4. Solid experience in performance tuning and troubleshooting database issues 5. Experience with data visualisation tools (e.g. Tableau or similar) 6. Experience using Python for data processing, automation, and ETL workflows 7. Familiarity with CI/CD pipelines and version control (Git) 8. Practical experience with database administration (backups, restores, security, DR) 9. Experience with AWS cloud services (RDS, Aurora, S3) 10. Familiarity with financial services environments is a plus 11. Displays and operates at the highest degree of ethics and integrity.

Overview The VP Technology Business Analyst will partner with Compliance, Technology, and Front Office stakeholders to define, deliver, and continuously enhance trade and electronic communications surveillance capabilities. The role focuses on translating regulatory and business requirements into high-quality technology solutions, with strong knowledge of surveillance platforms (e.g., SMARTS, TradingHub) and hands-on experience applying AI/analytics techniques to surveillance use cases. Experience in Cash Equities and/or Fixed Income related products, including booking models and trade flows, is highly desirable—particularly for Trade Surveillance implementations. Key Responsibilities Regulatory Requirements & Business Analysis: 1. Own end-to-end business analysis for trade surveillance and eComms surveillance initiatives (new capabilities, enhancements, migrations, regulatory change). 2. Elicit, document, and manage: business requirements, functional specs, user stories, acceptance criteria, workflows, and operating models. 3. Lead workshops with Compliance Surveillance, Legal/Regulatory, Operations, and Technology to align scope and outcomes. 4. Demonstrate working knowledge of surveillance systems and integrations, including: 5. SMARTS (NASDAQ) 6. MAST (TradingHub) and/or similar TradingHub surveillance components 7. Case management workflows and alert ingestion pipelines 8. Define and validate source-to-target mappings from OMS/EMS, exchange/venue feeds, reference data, and communications archives into surveillance platforms. 9. Ensure controls around lineage, reconciliation, completeness, and evidentiary standards. AI / advanced analytics enablement: 1. Identify and translate AI/ML opportunities into implementable requirements (e.g., alert triage, clustering, anomaly detection, NLP for comms, entity resolution). 2. Partner with data science/engineering teams to define training data needs, evaluation metrics, model governance, and human-in-the-loop workflows. 3. Ensure explainability, auditability, and model risk considerations are addressed in requirements and operating procedures. Stakeholder management & governance: 1. Act as a key liaison between Compliance and Technology; manage prioritization, trade-offs, and delivery timelines. 2. Support UAT planning/execution, test strategy, and production readiness (runbooks, controls, monitoring, SLAs). Required Skills & Experience 1. Experience as a VP level Business Analyst / Product Analyst in a technology delivery environment (Agile, hybrid, or waterfall). 2. Strong domain knowledge of Equities and Fixed Income market structure and trade lifecycle (orders, executions, allocations, confirmations 3. Proficiency in SQL and familiarity with data analysis tools (e.g., Python, Excel, Tableau). 4. Hands-on experience working with surveillance platforms such as SMARTS and MAST (TradingHub), or closely comparable vendor tools. 5. Strong understanding of data integration concepts: message formats, data models, reference/master data, reconciliation, and controls. 6. This is a hands-on analysis role, primarily as an individual contributor with potential to lead a small team of global business analysts. 7. Excellent documentation and communication skills; able to translate complex business problems into clear specifications. 8. Familiarity with communications surveillance is beneficial but not required (role is trade-surveillance focused unless specified).

Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview
Tableau & Data Specialist - FX Data & Analytics, AVP/VP

Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills in data visualisation, reporting, data governance and analytics to Citi’s Global FX Team.

By joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.

Team/Role Overview

The FX Data & Analytics team, within Citi’s FX Sales and Trading organisation, seeks a highly driven and motivated Tableau & Data Specialist. The team provides data, analytics, and tooling to Citi FX Management, Sales, and Trading globally and is responsible for defining and executing the overall data strategy for FX.

The successful candidate will be responsible for designing and delivering high-quality dashboards and reports in Tableau, curating and governing the underlying data that powers them, and championing a “data as a product” mindset across the team. You will have the opportunity to contribute to building modern Gen AI-powered capabilities and integrating them into our data reporting. The role will benefit from close interaction with existing Tableau and data experts within the team and a wide range of stakeholders across Sales, Trading, and Technology. We are looking for a proactive self-starter with a practical and pragmatic attitude, the ability to build consensus, and work both collaboratively and independently in a dynamic environment.

What you’ll do

• Design, develop, and maintain production-grade Tableau dashboards and reports that deliver clear, actionable insights to FX Management, Sales, and Trading stakeholders globally.
• Collaborate with stakeholders to understand data and reporting needs, design scalable solutions, and deliver them in partnership with existing team members and Technology.
• Curate, cleanse, and prepare the datasets underpinning FX reporting and analytics, ensuring data is accurate, consistent, and fit for purpose, working with technologies such as SQL, KDB, and Python.
• Contribute to building and evolving Gen AI-powered capabilities within the FX reporting and analytics ecosystem, including NL2SQL/KDB functionality, and automated commentary and analysis.
• Champion and enforce data and reporting governance best practices across the team’s reporting estate, including automated testing frameworks and data quality controls to validate the accuracy and integrity of reports and underlying data.
• Integrate reporting and data workflows into CI/CD pipelines, enabling automated deployment, version control, and reliable release management of Tableau content and associated data assets.
• Embrace and promote a “data as a product” mindset - treating reports, datasets, and analytics outputs as products with defined owners, consumers, SLAs, and quality standards, actively contributing to a self-serve analytics capability.
• Contribute to shaping and executing the overall data and reporting strategy for FX in collaboration with the existing team and senior stakeholders, with a focus on consolidation, automation, and scalability of our reporting and analytics.

What we’ll need from you

• Proven experience designing and developing complex, production-grade Tableau dashboards and reports for business stakeholders in a fast-paced environment. Familiarity with other solutions for data visualisation and reporting is a plus.
• Strong data analysis skills, with the ability to interrogate large and complex datasets to surface meaningful insights.
• Proficiency in SQL and Python for data querying, transformation, and validation. Experience with other languages and technologies (e.g., KDB/q) is a plus.
• Ideally, familiarity with TabPy and Gen AI integrations in the context of data visualisation and reporting, alongside a good general understanding of Gen AI capabilities and solutions.
• Demonstrated experience in data curation, data quality management, and data governance, including data validation and reconciliation processes, data lineage, metadata management, access controls, and documentation standards.
• Ideally, experience of integrating data and reporting workflows into CI/CD pipelines with automated testing frameworks, alongside working knowledge of version control systems such as Git.
• Ideally, familiarity with data workflow management tools such as Airflow, cloud platforms and APIs.
• Excellent communication skills, with the ability to convey complex information clearly and concisely to technical and non-technical audiences.
• A working knowledge of FX markets and financial instruments would be beneficial.

What we can offer you

This is a role that will offer you the freedom to define the future direction of how data is visualised, governed, and consumed across our FX business. Every day there will be new business challenges that will help you develop new skills that can drive your career.

By joining Citi London you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed) and enjoy a whole host of additional benefits that support you (and your family) to be well, live well and save well.
Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energised to join us, motivated to stay, and empowered to thrive.

Job Family Group:
Product Management and Development ------------------------------------------------------
Job Family:
Product Development ------------------------------------------------------
Time Type:
Full time ------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi .

View Citi’s EEO Policy Statement and the Know Your Rights poster.

As a strategic business partner to the Aristocrat Interactive leadership team, the Director of Commercial Insights will collaborate closely with the Chief Data Officer (CDO) and Central Data & Analytics team. They will use Aristocrat’s enterprise data platforms and services to support Interactive’s key businesses: iLottery, Content, and Platforms. This leader crafts and delivers actionable insights. They build reporting products for internal and external customers. The role will drive adoption of centralized data assets (data platform, BI, AI) and ensures data and insights translate into measurable commercial impact.

What you’ll do

Insights Design & Decision Impact

• Lead the design, packaging, and delivery of insights that influence where Interactive focuses - growth levers, product roadmap, customer value, margin and unit economics.
• Partner with Leaders, Product, Commercial, and Market MDs to embed insights into recurring Business Reviews, forecast cycles, and investment cases.

Data Governance & Quality

• Collaborate closely with the Chief Data Office and central data team. Establish and enforce data governance frameworks covering metadata, lineage, privacy, and SLAs. This ensures a trusted ‘one source of truth.’
• Partner alongside the core data group to improve data accuracy, completeness, and timeliness across the Interactive go-to-market segments.

Reporting Product Design & Packaging (Internal & External)

• Drive the visual design for dashboards, scorecards, and executive packs - in partnership with the central team provide clear standards on definitions, layouts, and visual storytelling across tools ({Powerpoint executive templates and PowerBI, AI or other).
• Develop board-ready and customer-ready templates and automate recurring reporting; ensure accessibility and performance across devices.

Business Partnership & Enablement

• Serve as the primary data partner to CFO/FP&A, CEO, Product leaders, and Managing Directors of each go-to-market segment.
• Provide timely, actionable insights to drive growth, optimize processes, and improve unit economics; translate platform capabilities into business-relevant outcomes.

Cross-Functional Leadership

• Liaise with central data platform, engineering, and analytics teams to coordinate reporting and dashboard roadmap delivery and handle market needs.
• Develop strong feedback loops with central teams to iterate and evolve data products and platform capabilities based on team member input.

Team Leadership & Market Uplift

• Build and lead a high-performing team of business data analysts and data product managers; set clear ways of working to ensure accountability and delivery.
• Embed commercially-minded analysts within core GTM functions; raise data literacy through upskilling and team member training.
• Develop a strong data culture passionate about scalable foundations, continuous improvement, and measurable impact across markets.

Technical Leadership

• Deep understanding of data and reporting technical architectures and tools, partner with the office of the CDO and central platform team to challenge, innovate and upgrade tools and capabilities where needed, driving self service as much as possible.
• Hands-on proficiency with SQL and modern BI/analytics tools (e.g., Power BI, Tableau); familiarity with cloud data warehouses and ELT (e.g., Snowflake). Some proficiency with Generative AI or AI agent workflows would be a plus.

What we need from you

• BSc/BA or equivalent experience in Computer Science, Engineering, Mathematics, Data/Analytics, Business, or related field.
• Advanced degree (MSc/MBA) and/or professional certification preferred.
• Experience in insights and analytics leadership roles within digital consumer businesses (gaming, entertainment/tech) or B2B SaaS scale-ups.
• Consistent record of delivering business impact through data strategy, analytics platforms, and governance initiatives in matrixed global organizations.
• Expertise with BI tools and data modeling; working knowledge of Salesforce/CRM and GTM tooling; ability to influence without authority and lead change.

Why Aristocrat?

Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play.

We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V

• World Leader in Gaming Entertainment
• Robust benefits package
• Global career opportunities

Our Values

• All about the Player
• Talent Unleashed
• Collective Brilliance
• Good Business Good Citizen

Travel Expectations
None

Additional Information

At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

Our client is looking for Junior and Middle level Data Engineer to join the teams. 1 day in office every 3 months. Permanent, salary is £45k- £65k depending on experience Job Details: 1. Develop, document and maintain robust processes that transform and clean data for input into a variety of live systems and analytical workflows 2. Liaise with colleagues across the business to elaborate requirements for new data products and translate these into technical plans 3. Maintain process quality and robustness through coding best practice, including version control, documentation and peer review 4. Investigate and elaborate data issues to help drive continuous improvement in data quality 5. Migrate Legacy processes to new data platforms 6. Learn new tools and techniques to support data processing and analytics as we expand our toolkit Skills we would love you to have: 1. Minimum 2:1 in a relevant technical degree. 2. A good understanding of database architecture and querying using SQL. 3. A sound understanding of data transformation and cleaning. 4. Programming experience using any language such as Python. 5. Understanding of Microsoft Azure, Power BI and Snowflake only need skills in SQL, Cognos and a data visualization tools like Tableau, Power BI or Qlik 6. 2- 4 years experience, good communication to work across functional team

The Opportunity: Help shape a Global Marketplace eFinancialCareers is the world’s leading financial services careers platform, connecting top talent with top employers in the banking, asset management, fintech, and financial technology sectors. With a global presence and unmatched industry insights, we connect the world’s leading financial services talent with global leaders in this space. We are a diverse company by design. We work collaboratively, share ideas and challenge conventional thinking. This is an opportunity to play a key role in shaping the next phase of eFinancialCareers, helping us strengthen our marketplace through better use of data, insight and automation. We are looking for a Senior Data Analyst who wants more than just "ticket-taking." You will join an autonomous Technology team that owns its entire stack - from infrastructure to deployment. In this role, you won’t just build dashboards; you will contribute to the strategy for our reporting environment, drive the transition to self-service analytics and bridge the gap between the Data team and commercial team. As the essential space for financial services and tech careers, we believe everyone should have access to life-changing opportunities, regardless of background. Therefore, we welcome diversity in applicants for all our roles. Why This Role is Different 1. True Autonomy: We believe in "Continuous Deployment." No "throwing it over the wall" here. You have control over design, testing and deployment. 2. High-Impact Stakeholders: You’ll partner directly with Marketing, Product and Exec teams who are data-savvy and keen to use data to inform decisions. 3. Growth Potential: You’ll be embedded in a tech-first culture with direct exposure to Data Engineering, Building microservices in AWS, Product Management and Web Development life cycle. Core Responsibilities 1. Own the Tableau Ecosystem: Lead the growth and optimization of our Tableau environment. You’ll move us beyond simple reporting into advanced, automated analytical tools (using parameters, APIs and actions). 2. Master the Web Stack: Act as the internal authority for GA4 and Google Tag Manager . You will own data collection integrity, fix tracking gaps and ensure our "top of funnel" data is world-class. 3. Strategic Advisory: Partner with Sales and Product Managers to provide ad-hoc deep dives and bespoke analysis that influence the company’s roadmap. 4. Upstream Influence: Collaborate with Web Dev and Data Engineers on modelling and architecture decisions to ensure our data warehouse (Redshift/BigQuery) is optimized for BI. Your Profile 1. The Tech Expert: You have deep expertise in Tableau and SQL . You don’t just write queries; you understand relational database structures and how to optimize them for performance. 2. The Digital Specialist: You have significant experience in a digital/e-commerce or marketplace environment. You understand user journeys, conversion funnels and web attribution. 3. The GA4 Pro: You have hands-on experience with GA4, GTM implementation and ensuring data cleanliness at the source. 4. The Communicator: You can translate "data-speak" into commercial insights. You are logical, articulate and enjoy collaborating with diverse global teams. 5. The Problem Solver: You see "messy data" as an architectural challenge to be solved, not a chore to be avoided. Education & Experience 1. Education: BSc or MS in Computer Science, Data Science, or a related field. Equivalent professional experience in a highly technical data role will also be considered. 2. Experience: Minimum of 3–5 years of professional experience in data analytics or business intelligence, ideally within a digital-first or marketplace environment. Essential Technical Skills 1. BI Mastery: 3+ years of hands-on experience building complex, high-performance dashboards in Tableau . 2. SQL & Databases: Expert-level SQL. Experience with cloud data warehouses such as Redshift, BigQuery or Snowflake . 3. Digital Analytics: Proven track record of owning GA4 and GTM implementations, including tag management and data layer troubleshooting. 4. The "Modern Data Stack": Understanding of data modelling, experience of Python and exposure to data engineering are highly desirable. Desirable Skills 1. Experience with the wider Google Marketing Stack (Ads Manager). 2. Knowledge of the online recruitment market or fintech sector. 3. Experience in web development, CI/CD, Agile technology environment. What We Offer 1. A supportive and high-performing culture where personal responsibility is rewarded with a competitive package, including benefits such as pension, private medical insurance, wellbeing subsidies and generous paid time off. 2. A transparent environment where high-quality work is recognized and rewarded. 3. The tech and tools you need to succeed and grow. 4. Eligible for UK-based hybrid working. As an inclusive employer, eFinancialCareers will try to accommodate any adjustments you need throughout the hiring process and beyond – just let us know how we can support you when you apply.

Role: Anaplan Model Builder

Location: Paddington/Green Park Business Park

Working Model: Hybrid (2 days per week in the office)

Contract Type: Inside IR35

The Role

It’s a telecom-based customer, this role is to build driver-based forecasting models in Anaplan as part of client’s planning and forecasting processes. Building Anaplan models is also a key deliverable of the Planning & Performance Management project, sponsored jointly by CFO and CCO, working in collaboration with the Finance Transformation team.

The Anaplan Model Builder will be responsible for developing Anaplan models aligned with best practices, approved designs, logical frameworks, and data structures. They will take a proactive approach to ensure the models are user-friendly, intuitive, and deliver meaningful value to end users. Additionally, they will actively contribute to the Anaplan Centre of Enablement (C4E) by sharing best practices, exchanging knowledge, and promoting a collaborative and innovative environment that drives technical excellence.

This role will be part of the Anaplan Consumer Build Squad within the C4E team, working closely with Solution Architects and other C4E members to deliver reliable, accurate, and innovative volume and financial planning solutions. The role will also be responsible for ensuring that Anaplan models are adopted by stakeholders in a way that maximises value for the business.

Your responsibilities:

• Develop predictive analytics capability in Anaplan models that adhere to best practices, ensuring scalability, accuracy, and efficiency in meeting business requirements.
• Contributing towards the development of a driver-based approach in Anaplan with consistent and logical dimensions across all the models.
• Conduct thorough testing of models to validate functionality, accuracy, and alignment with business requirements prior to deployment.
• Ensure Anaplan models are user-friendly, intuitive and add value to end users
• Build and maintain seamless data integrations between Anaplan and external systems.
• Actively participate in the Anaplan C4E by sharing knowledge, driving innovation, and contribute to a culture of continuous improvement.
• Continuously assess and optimize Anaplan models to improve model performance and streamline processes.
• Collaborate closely with Solution Architects, Product Owners and SMEs to build Anaplan models in alignment with the sprint process.
• Work closely with business users, solution architects, and other stakeholders to gather requirements and translate them into effective Anaplan solutions that deliver the acceptance criteria.
• Ensure completion of targeted activities within each two-week Anaplan build sprint
• Produce and maintain documentation and bite-size video content for models, including data flows, logic, structures, and user instructions.
• Effectively communicate and present Anaplan model developments and enhancements to stakeholders highlighting how these solutions create value and align with business objectives, ensuring clear understanding and buy-in.
• Value Creation: Identifying and supporting the business in delivering initiatives that maximise Revenue and EBITDA growth through building improved Planning solutions

Essential skills/knowledge/experience:

• Strong data modelling skills with 1-3 years experience building driver-based planning and forecasting models in Anaplan, which have been adopted and adding value to stakeholders.
• Experience in new Anaplan technology and capabilities like Polaris, Anaplan Data Orchestrator and Forecaster
• Proven track record of successfully driving digital transformation at pace in a cross-functional environment.
• Completed Anaplan Model Builder L1-3 .
• Proven skills in manipulating data using quantitative and qualitative analysis techniques and distilling the information into useful insight to guide operational or commercial change.
• A proven track record in presenting analysis and design options to senior stakeholders to guide business decisions.
• Ability to work successfully within a cross-functional environment to develop and deliver solutions that unlock business value.

Desirable skills/knowledge/experience:

• Basic knowledge of other Data Democratisation tooling such as Tableau, Atlan, GCP and DBT.
• Experience in promoting and maximising the value of agile ways of working

Role: Data Scientist Type: Contracts (6 Months) Location: London, UK (REMOTE) Working Model: Fully Remote Payrate: (Apply online only) GBP/day on PAYE (Apply online only) GBP/day on RUPAYE (Apply online only) GBP/day on Inside IR35 on Umbrella The Role: Join our team to drive data quality and empower cross-functional decision-making by building robust pipelines and self-serve data products. You will be essential in defining metrics for platform health, developer productivity, and ML/AI adoption. What You Will Do: Own end-to-end analytical data modeling in BigQuery using dbt. Build reliable data pipelines utilizing SQL, Python, and distributed processing frameworks (Apache Spark, Scio, Beam, or Flink). Develop clear, story-driven dashboards using tools like Looker or Tableau. Champion data quality, implement CI/CD for dbt models, and mentor junior team members.What You Bring: 5+ years of experience in analytics or data engineering, with deep expertise in SQL. Extensive experience with dbt, a cloud data warehouse, and workflow orchestrators (Airflow, Dagster, Prefect, or Flyte). Proficiency in Python for data analysis and automation. Bonus: Experience with experimentation, ML/AI metrics, or platform productivity.This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. sukkala2 @ randstaddigital. Com Randstad Technologies is acting as an Employment Business in relation to this vacancy

SCUK Data & Reporting Analyst Country: United Kingdom

Santander Consumer Finance UK (SCUK) is based in Redhill, Surrey and provides motor finance to a network of car dealerships throughout the United Kingdom.

We are now looking for a Data and Reporting Analyst to be responsible for developing and maintaining standardised automated reporting processes conforming with data governance requirements across SCUK’s Operation. This is key to ensure business as usual KPI’s can be measured by leadership teams and that ongoing change is supported by meaningful and analysed data.

Please note this role is a hybrid role with at least 3 days a week in the Redhill office. Remote workers will not be considered.

Responsibilities will include:

• To develop and maintain standardised automated reporting ensuring that it is streamlined operationally and contains a single source of the truth to track operational performance
• To ensure all data is clear and engaging through visualisations when presented
• Manage various initiatives and contribute towards overall programme and project deliverables through the production of meaningful reports and complex data analysis
• Employs a “rapid response service” to take care of quick fire and simple business questions
• Defines, creates and maintains the data required for ad-hoc and regular reporting as well as dashboards needed for programme delivery and/or portfolio-level decision making
• Handles large volumes of data using SAS, SQL Server and Business Objects
• To communicate, present and influence at all levels
• To create and update procedure guides to evidence how tools and reports function
• Promotes sound governance and works in line with control frameworks to ensure data is of the highest accuracy
• Adhering to our commitment to Consumer Duty ensuring we put our Customers’ needs first and set higher and clearer standards of consumer protection

What we’re looking for:

• Previous experience in a complex role producing MI
• Master of the art of data visualisation
• Extensive experience in use of BI tools like Tableau, Power BI, or QlikView for data visualisation and analysis
• Advanced Microsoft Excel for data manipulation (Index, Match, VBA, complex formulas
• Demonstrable experience in SAS, SQL Server and Business Objects
• Advanced knowledge database interrogation & programming skills (relational database, advance select queries, indexes, and constraints)
• Solid understanding of data security and compliance standards to protect the integrity and confidentiality of data
• Has experience of implementing suitable control mechanisms to prevent occurrence or re-occurrence of data quality issues
• Proven experience in conveying complex data findings to non-technical stakeholders in a clear and understandable manner
• Ability to use Technical Writing to create accurate product and service documentation
• Possess excellent communication skills and the ability to liaise with all stakeholders at all levels
• Good analytical, problem solving and conceptual skills in order to develop methodologies and processes

We have a range of benefits available which include:

• Competitive salary of £38,000 - £42,000 (dependant on skills & experience)
• 27 days holiday per annum, plus bank holidays
• Annual bonus based on personal and company performance
• £500 flexible benefit allowance
• Generous pension contributions
• Employee assistance programme
• Sharesave scheme
• Gym passes at a reduced rate for 3,000 gyms, leisure centres etc

Other things you need to know:

• The working hours for this role are 09:00-17:00, across Monday - Friday

Inclusion

• At Santander we’re creating a thriving workplace where all colleagues feel they belong and are supported to succeed. We all help to make Santander a workplace that celebrates diversity and attracts, retains and develops the most talented and committed people through living our values of Simple, Personal, and Fair
• At Santander Consumer Finance we have a zero-tolerance approach to discrimination, bullying, harassment (including sexual) or victimisation of any kind
• Should you want to be considered for part time hours, please let us know and we can assess your requirements

What are the next steps:

• If you are interested in this role and believe you have the skills, experience, and knowledge then we’d love to hear from you. Please go ahead and click apply which will take you through some questions and allow you to submit your CV and covering letter

Senior Tableau DeveloperSalary: Up to £85,000 + Bonus + BenefitsLocation: Central London - Hybrid (3 days per week onsite)Working Hours: 40 hours per week - Full timeJob Type: Permanent

A globally established organisation is seeking a Senior Tableau Developer to support business-critical reporting platforms within a complex, data-driven environment.

This role sits within a globally distributed team, providing end-to-end support, analysis and optimisation of BI reporting platforms, ensuring data accuracy, usability and business alignment across multiple regions.

Responsibilities for the Senior Tableau Developer:

• Act as a subject matter expert across BI reporting platforms, understanding data models, business logic and reporting structures
• Investigate and resolve data discrepancies, reporting issues and user queries
• Support and manage incoming requests across BI platforms, ensuring timely and accurate resolution
• Perform data validation, reconciliation and root cause analysis across multiple data sources
• Provide clear guidance to stakeholders on data interpretation, metrics and reporting logic
• Collaborate with data engineering and product teams to escalate and resolve platform issues
• Support operational workflows including automated request handling and exception management
• Contribute to continuous improvement of reporting accuracy, processes and user experience

Essential Skills for the Senior Tableau Developer:

• Strong experience with Tableau and BI reporting platforms
• Experience of sales, commercial or performance reporting metrics
• Experience querying data sources to investigate, validate, and explain data to business users
• Experience working with large datasets and complex data models
• Ability to translate technical findings into clear business insights
• Strong stakeholder engagement and communication skills
• Experience managing multiple requests in fast-paced environments

Desirable Skills for the Senior Tableau Developer:

• Familiarity with B2B and B2C sales reporting structures, including Institutional Sales, Consumer Channel metrics, and related data definitions such as ICDF
• Experience with tools such as ThoughtSpot, Business Objects or similar
• Experience working within global or follow-the-sun support models
• Understanding of data pipelines and reporting architectures

If you are an experienced Tableau Developer looking to work within a global, high-impact data environment, this role offers strong exposure to complex reporting platforms and enterprise data challenges.

FP&A Analyst Rapid-Growth Womenswear Scaleup Central London / Hybrid

The Client

We’re partnering with a fast-growing, design-led womenswear brand with a strong digital presence on an incredible opportunity to join the team as an FP&A Analyst. The company operates across multiple markets and channels, with a clear focus on brand, product, and community.

Following a sustained period of growth, the business is now investing in its systems, data infrastructure, and commercial capabilities to support its next phase of scale. Finance plays a central role, working closely with teams across the organisation to drive performance and support decision-making.

The Role

This is an incredibly exciting and high-impact opportunity within a developing FP&A function, reporting directly to the Head of FP&A. You will support core planning cycles, performance tracking, and commercial analysis across the business.

Joining during a period of transformation, you will play a key role in improving financial visibility, strengthening processes, and supporting the implementation of new systems. This is well suited to someone who enjoys working in a fast-paced environment and is keen to take ownership in a scaling business.

Key Responsibilities

• Support the budgeting and reforecasting cycles across P&L, balance sheet, and cashflow
• Build and maintain financial models, including scenario planning and sensitivity analysis
• Deliver monthly reporting packs with clear and actionable commentary for senior stakeholders
• Conduct variance analysis across departments, identifying key drivers and risks
• Partner closely with Marketing and Commercial teams to track spend, challenge assumptions, and improve performance
• Own tracking and reporting of marketing spend, ensuring accurate accruals and cost visibility
• Produce channel and departmental P&Ls, ensuring data is accurate and decision-ready
• Support ERP implementation and drive improvements across FP&A processes, reporting, and controls

What we need to see:

• 3-5+ years’ experience in FP&A, Commercial Finance, or Business Partnering
• Strong experience with budgeting, forecasting, and month-end processes
• Advanced Excel or Google Sheets skills, with the ability to build robust models
• Confident communicator, able to translate financial data into clear insight
• Comfortable operating in a fast-paced, evolving environment

What we’d like to see:

• Experience in ecommerce, retail, fashion, fmcg, or equivalent
• Fully Qualified accountant (ACA, ACCA, CIMA, or equivalent)
• Experience in an SME/Scaleup environment
• Exposure to BI tools (Power BI, Looker, Tableau) or large datasets

The offer:

Salary: £

Location: Central London / Hybrid (3 days in-office, 2 days WFH)

If this sounds like you or someone you know, feel free to get in touch with Liz Agatucci

At Harmonic, we are dedicated to fostering an inclusive and equitable workplace. We actively welcome applications from individuals of all backgrounds and assure you that every candidate will be thoughtfully considered for the roles we represent, without regard to race, religion, gender expression, disability, or sexual orientation.

At Harmonic, we are dedicated to fostering an inclusive and equitable workplace. We actively welcome applications from individuals of all backgrounds and assure you that every candidate will be thoughtfully considered for the roles we represent, without regard to race, religion, gender expression, disability, or sexual orientation.

Please note this is a training course and fees apply

Are you looking to benefit from a new career in Data Analysis?

If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst

We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis.

Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles.

Demand for Data Analysts has grown 20% year on year. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners.

Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis.

The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector.

Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.

Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below.

Step 1 - CompTIA Data+ Qualification

The first step is completing the CompTIA Data+ Qualification accredited by CompTIA.

This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.

Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.

The course is provided online and comes complete with exam simulators and revision tools.

You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.

This qualification will set you on a route to becoming a data analyst.

Step 2 - Data Administration Training

Data is extracted using various method which are normally IT driven.

Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst.

• Microsoft excel - to expert level.
• Learn SQL - the programming language used for extracting data from more complex databases.
• Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.
• Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.

Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam.

Step 3 - Business Analysis Foundation

Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa.

Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT).

Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam.

Step 4 - Recruitment Support

Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have.

We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot.

Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector.

They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need.

Our money back guarantee

If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams.

However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.

Check our testimonials from the hundreds of candidates we have already helped.

What Now?

To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.

Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.