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 with experienced analysts easily commanding salaries of £50k+. 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.

Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts:

• Junior Data Analyst - £30,000
• Data Analyst - £50,000
• Business Data Analyst - £67,500
• Data Analytics Analyst - £80,000
• Business Analysts - £60,000

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.

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts.

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

We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science.

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

Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners.

Current average salaries in the sector for lower-level positions and fully trained Data Experts:

• Junior Data Analyst - £30,000
• Data Analyst - £50,000
• Business Analysts - £60,000
• Data Scientist - £65,000

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 Science.

Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector.

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

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.

Step 1 - Data Administration Training

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

We provide you with access to the following courses to ensure you are 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 approx. 30-60 hours and qualification is through completion of the course with no exam.

Step 2 - 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 achieved by completing a 1-hour exam.

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

You will have access to a tutor and a 1-hour online revision workshop prior to your exam.

This qualification sets you on course to becoming a data analyst.

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.

A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS.

Study time is around 15 hours, and qualification is achieved by online exam.

Step 4 - Recruitment Support

Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience.

We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot.

Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role.

They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need.

Step 5 - CompTIA Data X Qualification

Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist.

This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately.

Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level.

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 out our testimonials.

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.

Job title: Performance Analyst Duration: 01/05/2026 - 30/11/2026 Clearance: BPSS Location: London (Hybrid) Required skills: Required Skills, Characteristics & Experience Experience operating as a Performance Analyst within a UK Government setting. NHS experience preferred but not mandatory
Excellent Data Analysis / Data Science skills and experience, including use of BI, Excel and other tools
Strong Python, R, SQL skills and experience
Experience extracting and collating data from multiple legacy systems
Experience with Data Reporting tools (e.g. Tableau / PowerBI)
Experience working in an Agile and dynamic delivery environment in which change and ambiguity often exist Soft skills are just as important as technical skills for this role - it is critical to demonstrate the right attitude and characteristics to be successful. This requires: Strong communication and collaboration skills - critical to build good relationships and to work well with people
Collaboration - needs to be a team player and work closely and well with many different people both inside and outside the team
Enthusiasm and engagement with a positive attitude
Pro-active - do not expect to be told what to do - will need a level of drive
Handle ambiguity and change

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

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.

• 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?

Job Opportunity: Marketing Manager / Campaign Manager
Contract Type: Temporary (12 months)
Daily Rate: 300 - 350
Working Pattern: Full Time onsite

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 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.
• 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 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 lifecycle 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!

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.

Are you ready to start a new career in Data Analysis?

The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.

In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise.

With our Data Analytics career programme we will provide you with:

• 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals
• 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals
• 100+ hours of live instructor-led online classroom training
• Real-world Data Analyst project work & live labs to boost your CV
• Exam & interview preparation
• Job Guarantee with a salary up to £35,000

Course cost - £2495, or, £207.91 per month

We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees.

No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want.

Click 'Apply Now’ to begin your new data career!

Are you ready to start a new career in Data Analysis?

The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.

In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise.

With our Data Analytics career programme we will provide you with:

• 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals
• 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals
• 100+ hours of live instructor-led online classroom training
• Real-world Data Analyst project work & live labs to boost your CV
• Exam & interview preparation
• Job Guarantee with a salary up to £35,000

Course cost - £2495, or, £207.91 per month

We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees.

No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want.

Click 'Apply Now’ to begin your new data career!

Are you ready to start a new career in Data Analysis?

The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.

In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise.

With our Data Analytics career programme we will provide you with:

• 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals
• 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals
• 100+ hours of live instructor-led online classroom training
• Real-world Data Analyst project work & live labs to boost your CV
• Exam & interview preparation
• Job Guarantee with a salary up to £35,000

Course cost - £2495, or, £207.91 per month

We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees.

No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want.

Click 'Apply Now’ to begin your new data career!

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.

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.

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?

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).

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.