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Data & MI Manager - McGregor Boyall

Data Analyst Placement Programme

Data Jobs at ITOL Recruit

AVP Senior Auditor Data Analytics

Signature Recruitment

Digital Transformation Change Exceutive

Analytics Engineer,SQL,Python,Remote Working

Harnham - Data & Analytics Recruitment

Anaplan Model Builder

Ubique Systems UK Limited

Business analyst - private equity

Data Analyst/ Data Engineer - KPI Dashboard

Hays Specialist Recruitment Limited

Urgent opening - Anaplan Model Builder - Paddington, London, UK

Ubique Systems UK Limited

Senior Technical Account Manager - Intuit

Market Intelligence Manager

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Data & MI Manager - McGregor Boyall

Data & MI Manager (Lending / Mortgages)

Specialist Banking
Location: London
Working: Hybrid (50/50)
Salary: Up to £70k + bonus & benefits

The Role
Opportunity to join a growing specialist bank within their mortgages and lending division, taking ownership of data, MI and operational insight across the business.

This is a hands-on role combining technical delivery, stakeholder engagement and team leadership. You’ll act as the go-to for all reporting and analytics, working closely with senior stakeholders to translate data into clear, actionable insight that drives operational performance and decision-making.

The role sits at the intersection of data, operations and lending, with a focus on improving visibility across pipeline, capacity, customer outcomes and overall business performance.

Key Responsibilities

Own and deliver all MI, reporting and operational analytics across the lending division
Design and develop dashboards using Tableau, Power BI and SQL
Translate complex data into clear insight for senior stakeholders (MD, Sales, Credit, Operations)
Lead and develop a junior analyst, setting standards and supporting growth
Drive data quality, consistency and governance across operational systems
Identify inefficiencies and lead data-driven process improvements
Support operational change and transformation initiatives with robust data and insight
Act as the subject matter expert for data, reporting and operational performance

Key Requirements

Strong experience in MI, BI or data analytics roles within financial services (essential)
Advanced Tableau and SQL skills (essential)
Experience building dashboards and owning reporting end-to-end
Proven ability to engage senior stakeholders and influence decision-making
Experience working with operational or lending-related data (e.g. mortgages, loans, pipeline)
Prior experience mentoring or managing analysts (or ready to step into this)
Strong commercial mindset with a focus on using data to drive change
Ideal for a Senior Analyst looking to step into a management role, or an existing Manager seeking a hands-on position
No sponsorship available

Get in touch for more details - ncarolan@mcgregor-boyall.com

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Junior Data Engineer, Data Operations£40,000 to £45,000 Basic + 10% Bonus + BenefitsLondon HQ | Remote across the UK fine though

We’re working with a growing, international SaaS organisation that is expanding its Data Operations capability and looking to hire a Junior Data Engineer.

This is an excellent opportunity for someone early in their data engineering career to gain hands-on experience in a modern, cloud-first environment. You’ll play a key role in building and maintaining reliable data pipelines that support reporting, analytics and operational decision-making across the business.

Working alongside experienced Data Engineers and a collaborative data team, you’ll help develop scalable data processes, improve data quality, and contribute to well-governed datasets used by teams across the organisation. You’ll also gain exposure to enterprise-level data platforms and best practices.

The role will involve developing and maintaining data pipelines, transforming data using Python, SQL and PySpark, integrating data from various internal and external sources, and supporting day-to-day data operations. You’ll also contribute to data quality initiatives, documentation, and continuous improvements to platform reliability.

We’re looking for candidates with 1 to 3 years’ experience in data engineering, analytics engineering or a similar field. You’ll have solid Python and SQL skills, experience working with data pipelines, and an understanding of cloud-based storage such as Amazon S3. Experience with tools like Databricks, Delta Lake, or BI platforms such as Power BI or Tableau would be advantageous.

This organisation operates globally and is continuing to invest heavily in its data capabilities, making it an exciting time to join. The culture is collaborative, supportive and focused on continuous improvement, with a strong emphasis on delivering real business impact.

What’s on offer:

£40,000 to £45,000 basic salary
10% annual bonus
Comprehensive benefits package including healthcare, pension, life assurance and more
25 days holiday plus your birthday off
Flexible working with remote options across the UK
London HQ for those who enjoy office collaboration

If you’re looking to develop your data engineering skills in a high-growth SaaS environment, we’d be keen to hear from you.

Apply now to learn more.

Junior Data Engineer, Data Operations
£40,000 to £45,000 Basic + 10% Bonus + Benefits
London HQ Remote across the UK fine though

We re working with a growing, international SaaS organisation that is expanding its Data Operations capability and looking to hire a Junior Data Engineer.

This is an excellent opportunity for someone early in their data engineering career to gain hands-on experience in a modern, cloud-first environment. You ll play a key role in building and maintaining reliable data pipelines that support reporting, analytics and operational decision-making across the business.

Working alongside experienced Data Engineers and a collaborative data team, you ll help develop scalable data processes, improve data quality, and contribute to well-governed datasets used by teams across the organisation. You ll also gain exposure to enterprise-level data platforms and best practices.

The role will involve developing and maintaining data pipelines, transforming data using Python, SQL and PySpark, integrating data from various internal and external sources, and supporting day-to-day data operations. You ll also contribute to data quality initiatives, documentation, and continuous improvements to platform reliability.

We re looking for candidates with 1 to 3 years experience in data engineering, analytics engineering or a similar field. You ll have solid Python and SQL skills, experience working with data pipelines, and an understanding of cloud-based storage such as Amazon S3. Experience with tools like Databricks, Delta Lake, or BI platforms such as Power BI or Tableau would be advantageous.

What s on offer:

£40,000 to £45,000 basic salary
10% annual bonus
Comprehensive benefits package including healthcare, pension, life assurance and more
25 days holiday plus your birthday off
Flexible working with remote options across the UK
London HQ for those who enjoy office collaboration

If you re looking to develop your data engineering skills in a high-growth SaaS environment, we d be keen to hear from you.

Apply now to learn more.

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.

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

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

Step 1 - CompTIA Data+ Qualification

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

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.

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

Step 4 - Recruitment Support

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 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?

Data Analyst Placement Programme

Data Jobs at ITOL Recruit

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.

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

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.

Step 1 - CompTIA Data+ Qualification

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

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.

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

Step 4 - Recruitment Support

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 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?

AVP Senior Auditor Data Analytics

Data Analytics Internal Audit role within an exciting banking group looking to grow significantly

Data Analytics AVP - Audit
Posting End Date
Job Details

Who we are
United by a sense of purpose towards our customers - to be a trusted partner for the long-term - and our universal banking platform in EMEA, we have an international growth agenda and award-winning products, meaning we provide exciting opportunities to work on a diverse range of projects and initiatives. We deliver a full suite of corporate finance products and solutions to our customers as well as investment banking and advisory services, and a range of innovative solutions in global capital markets. Read on to find out how you could enhance your skills and gain valuable experience by joining us to support our clients’ transition to a sustainable future.
Role Summary
We’re looking for an AVP Data Analytics within the Internal Audit Department to join our team.
This London-based role sits within the Audit Department Internal Audit (ADIA) and is part of a four-member Data Analytics team. The team reports to the Audit COO. It supports audit and credit review assignments across EMEA by leveraging data analytics and maintaining Computer Aided Auditing Tools (CAATs) for continuous auditing and monitoring. The role requires:
• Strong communication and interpersonal skills, including presenting insights to senior stakeholders.
• Proficiency in data analytics tools (Python, R, ACL, SAS) and visualisation platforms (Tableau, Power BI).
• Experience with databases (Oracle, SQL Server) and ETL tools (Alteryx, Talend, Informatica).
• Ability to work independently and collaboratively across teams.
• Commercial awareness and understanding of business processes in Corporate Banking, Capital Markets, and Credit.
• Knowledge and understanding of using AI within Internal Audit would be advantageous.
• Experience of being within the data analytics team of an internal audit function is desirable.
Business Area
Audit Department Internal Audit (ADIA), part of SMBC Bank International plc, London. ADIA is an independent function reporting to the Board Audit Committee and responsible for audits and credit reviews across all EMEA legal entities and business lines.
Position Description
The role involves:
• 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.
Competencies
Customer Focus
Driving Change
Driving Results
Embraces Diversity
Enterprise Leadership
Judgement and Decision-Making
Risk Management
Strategic and Visionary
Trust and Integrity
What we offer
For all the expertise and experience you bring to help us make a difference, it’s only sustainable if we support you to build your career and be your best self, so we offer competitive company benefits, centred around promoting positive well-being and work-life balance. We also believe in fostering a diverse and inclusive work environment, where all team members’ perspectives and contributions are valued. Initiatives in place which promote a diverse and inclusive culture and healthy work-life balance include hybrid working, Sport & Social Clubs and Diversity and Inclusion networks.
As an employee, you have access to a host of both useful and exciting benefit offerings. See below some of the benefits on offer to you:
• Hybrid and flexible working
• Competitive paid leave days
• Benefits to support your physical wellbeing, including private medical insurance and life and invalidity insurance
• Various policies to support your mental wellbeing, including a robust behavioural health network with counselling and coaching services
• Access a wide range of learning and development opportunities and career progression opportunities
• Ambitious remuneration package
So, if you like a challenge and want to continuously grow and develop in a role where you will be supported along the way by a dynamic and diverse team, apply today

Senior Data Analyst

Signature Recruitment

Do you enjoy uncovering the story behind complex data? Are you confident using tools like Power BI and Tableau to deliver clear, meaningful insight? Ready to shape decisions by presenting data in a way that truly lands? Signature Recruitment are working with a well-regarded London organisation to recruit a Senior Data Analyst, offering a hybrid working pattern and immediate start.

This 6-month temporary Senior Data Analyst role is based in London, with three days onsite and two working from home. Offering £30–£33 per hour plus holiday pay, this position supports a newly launched organisational strategy by ensuring performance data is accurate, accessible, and ready to inform decision-making.

You will join a collaborative and supportive team where technical expertise is valued and shared. This role offers strong exposure to senior stakeholders, giving you the opportunity to influence decisions and shape reporting outputs. With hybrid flexibility and a focus on continuous improvement, this is a great opportunity to develop your skills while making a visible impact.

Senior Data Analyst - Key Responsibilities:

Deliver high-quality performance reporting using Power BI, Tableau, and Excel
Translate complex datasets into clear insight and actionable recommendations
Present data to senior stakeholders to support understanding and decision-making
Develop and improve dashboards and reporting outputs
Ensure accuracy and integrity of performance data
Identify opportunities to enhance data quality and reporting processes

Senior Data Analyst - Key Skills:

Experience in data analysis, performance, or business intelligence
Advanced Power BI, Tableau, and Excel skills
Ability to communicate complex data to non-technical audiences
Experience within large, complex organisations such as NHS or local government

This Senior Data Analyst role would suit someone who enjoys combining technical expertise with stakeholder engagement. If you are ready to make an impact and can start immediately, we would love to hear from you.

While we aim to respond to every applicant, the volume of applications may result in delayed communication. If you do not receive a response within a week, your application may not have been successful on this occasion. However, we will keep your details for potential future opportunities. While we aim to respond to every applicant, the volume of applications may result in delayed communication. If you do not receive a response within a week, your application may not have been successful on this occasion. However, we will keep your details for potential future opportunities.

Please be aware that Signature Recruitment will never reach out to candidates through WhatsApp, nor will we request sensitive information like bank details, passport, or driving licence data during the application process. For a secure job search and reliable flexible work, we advise consulting Jobs Aware who ensures all workers and work-seekers in the UK have access to free help and advice, as well as provide an option to report a scam or exploitation. SIG-T10749

Digital Transformation Change Exceutive

Digital Transformation Change Executive - London
Permanent Full-time

This is an excellent opportunity for someone early in their career who wants to get hands-on with digital transformation rather than sitting on the edge of it.

You ll need around 2-4 years experience in a digital, technology, change, or delivery environment, and you must already have the right to work in the UK as visa sponsorship isn t available

The business

Our client is a investment firm focused on backing projects that have a real-world impact across the economy, healthcare, communities, and the environment

They re a certified B Corp, so how they operate matters as much as what they deliver. Returns are important, but so is long-term impact.

The role

You ll join a small central transformation team (4 people including you) and work closely with operational leads across the business.

Day to day, you act as the link between Digital and the wider organisation. You ll spot opportunities for improvement, shape ideas into something practical, and make sure delivery actually happens and lands properly

There s a growing focus on AI. A key part of the role is helping teams understand where it fits, what s worth doing, and how to move those ideas forward

This is a hands-on role. You ll be working with senior stakeholders, managing pipelines, keeping initiatives moving, and making sure nothing gets lost along the way

What you ll be doing

Work with department leads to identify opportunities for digital and AI-led improvement
Shape ideas into clear initiatives and move them through the pipeline
Own pipeline reporting so everyone understands what s happening and what s coming next
Support teams in using the internal delivery framework effectively
Help identify and progress AI use cases across the business
Lead larger initiatives that involve multiple teams
Track outcomes after delivery so value is visible
Support prioritisation and resourcing decisions
Help with rollout and adoption of new tools and solutions
Use AI tools to improve how you and the team work

What good looks like

Clear and consistent communication between Digital and the wider business
A visible, well-managed pipeline that supports decision making
AI initiatives progressing across multiple departments
Cross-team delivery that runs smoothly without gaps
Delivered work is reviewed properly and outcomes are understood

What they re looking for

2 4 years experience in a digital, technology, change, or delivery role
Strong stakeholder communication skills
Ability to simplify complex information
Experience with reporting or analytics tools such as Power BI or Tableau
Proactive approach with the confidence to make things happen
A systems mindset, understanding how different parts of the business connect

Nice to have

Background in financial services or professional services
Experience with delivery frameworks, change, or product environments
Exposure to low-code tools or automation platforms

Other requirements

Able to commute to a London office (3 days p/week in the City of London office)
Full right to work in the UK

Analytics Engineer,SQL,Python,Remote Working

Analytics Engineer, SQL, Python

Fully Remote

£472 a day (Umbrella)

I’m currently working with a leading technology and consulting company who are seeking an Analytics Engineer to join on a 6-month contract. This is a remote role with occasional travel into London.

Working with a growing organisation that uses data to support important decision making
Joining a collaborative and supportive analytics team
Permanent opportunity with flexibility and strong ownership

About the role

Working across the full analytics lifecycle from data engineering to insight delivery
Transforming and analysing data using SQL and Python
Working in AWS environments to support scalable analytics
Creating clear dashboards and reports using tools such as Power BI or Tableau
Building repeatable analysis used to monitor performance and support decision makers
Implementing strong data quality checks and maintaining clear audit trails
Producing well documented and maintainable code and processes

Skills Required

Strong experience with SQL and Python
Experience with at least one BI or reporting tool
Good understanding of data quality and reporting best practice
Confident communicating insights to technical and non-technical stakeholders
Proactive mindset with a willingness to take ownership
Curious, adaptable and comfortable with change

Engagement via umbrella company only; all taxes & NI deducted at source.

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Are you a forward-thinking Data Analyst passionate about building secure, scalable systems that drive financial innovation?The Role

You’ll play a key role in shaping how data is used within a fast-paced financial environment - designing solutions that meet regulatory requirements while enabling smarter business decisions.

Working across the full data lifecycle, you’ll analyse complex datasets and contribute to designing enterprise-level data solutions that support transformation and growth.

Key Responsibilities

Analyse and model structured and unstructured data using logical and physical modelling techniques
Design scalable data architectures, including data flows and ETL processes
Support modern, cloud-based data platforms and solutions
Ensure data quality, governance, lineage, and compliance with regulations (e.g. GDPR)
Translate business requirements into data-driven solutions
Collaborate with cross-functional stakeholders to deliver impactful outcomes
Contribute to advanced analytics initiatives such as predictive modelling and fraud detection

Skills & Experience

Essential:

Strong experience in data analysis, profiling, and data mapping
Proficiency in SQL and/or Python
Solid understanding of data modelling, normalization, and performance optimisation
Experience with data governance, security, and regulatory compliance
Hands-on experience with ETL processes, data warehouses, and cloud platforms (e.g. AWS, Azure, GCP, Snowflake)
Ability to communicate technical concepts clearly to non-technical stakeholders

Desirable:

Experience with data visualisation tools (e.g. Power BI, Tableau)
Familiarity with metadata management and governance tools (e.g. Purview, Collibra, Informatica)
Exposure to AI/ML use cases in analytics
Background in financial services or other regulated industries

What’s on Offer

Opportunity to work on large-scale, high-impact data transformation projects
Exposure to modern data technologies and cloud platforms
Clear career progression into architecture or leadership roles
Collaborative and innovative working environment
Ongoing learning, development, and certification support

Company: Live Nation

Department: International Data and Audience

Location: Farringdon, London

Reports to: Director, BI & Analytics, International

Working Hours: Full time

Job Type: Permanent

Role Description

We’re looking for an Analytics Engineer to play a critical role in enabling data access, platform operations, and analytical data modelling across Live Nation’s international data ecosystem. You will work with rich datasets and manage data workflows in large-scale data environments, ensuring reliable and performant data access in Databricks, BigQuery, Tableau and Data Studio.

You will lead the design and development of scalable data models and transformation layers that enable self-service analytics, while supporting high-impact BI outputs where needed. Working closely with Data Engineering, analysts, and business stakeholders, you will drive data migration, integration, and platform improvements, while contributing to the delivery of high-quality dashboards and analytical outputs.

What we can offer you

Live Nation offers impressive employee benefits including tickets to shows and festivals and unlimited annual leave. The Farmiloe Building in Farringdon, London is a beautiful office to work in. Staff can enjoy use of arcade games in the basement games room, onsite gym equipment plus fitness and meditation classes. In addition to this, the office has a fully stocked complimentary coffee bar with barista to serve you your favourite coffee as you walk into the office and offers heavily subsidised lunch options. We hold regular staff events in our atrium stage space including hosting speakers and open mic nights to showcase Live Nation employee talent.

Who you are

Competencies / Skills / Knowledge / Experience

Proven experience in Analytics Engineering or data modelling / BI engineering roles, with ownership of data platforms and enablement of analyst teams
Experience designing and owning robust data pipelines, modular data models, and scalable analytical datasets in large-scale, cloud-based environments
Strong hands-on expertise with Databricks, BigQuery, and advanced SQL, building performant transformation layers (Python a plus)
Comfortable working across multiple stages of the data lifecycle, from ingestion and transformation through to modelling and visualisation
Ability to deliver production-grade BI outputs (Tableau, Looker Studio) and translate data models into performant semantic layers
Experience enabling self-service analytics through well-structured datasets, testing, version control, and documentation
Strong understanding of platform administration (e.g. service accounts), performance optimisation, data quality, and governance within modern data platforms
Strong stakeholder collaboration skills, partnering cross-functionally with Data Engineering, Analytics, and regional teams

Behaviours

Analytical, proactive mindset with strong problem-solving ability and business acumen
Comfortable working in fast-paced, cross-functional environments, with a continuous learning mindset

What the role includes

Lead and evolve the Databricks analytics platform, ensuring scalable, governed, and high-quality data for analytics and BI use cases
Manage and optimise data workflows across Databricks and BigQuery, including migration and consolidation to improve performance, efficiency, and reliability
Design and implement scalable, reusable data models and transformation layers using SQL and Python
Develop and maintain core analytical datasets (e.g. customer, behavioural, reporting layers) aligned to best practices in modelling and performance optimisation
Support and Enhance BI solutions (Tableau / Google Data Studio), ensuring performant data connections and high-impact dashboard delivery where needed
Enable analysts through data access, query optimisation, and best practices for working with centralised data models
Manage service accounts and platform configurations, ensuring secure and reliable data access
Partner with local stakeholders to standardise metrics, data definitions, and transformation logic across regions

Equal Opportunities

We are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. You will be working in an inclusive environment and be encouraged to bring your whole self to work. We will do all that we can to help you successfully balance your work and homelife. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. It’s talent that matters to us and we encourage applications from people irrespective of their gender identity, race, sexual orientation, religion, age, disability status or caring responsibilities.

The Company

Live Nation Entertainment is the world’s leading live entertainment company, comprised of global market leaders: Ticketmaster, Live Nation Concerts, and Live Nation Media & Sponsorship. Ticketmaster is the global leader in event ticketing with over 500 million tickets sold annually and more than 12,000 clients worldwide. Live Nation Concerts is the largest provider of live entertainment in the world promoting more than 40,000 shows and 100+ festivals annually for nearly 4,000 artists in over 40 countries. These businesses allow Live Nation Media & Sponsorship to create strategic music marketing programs that connect over 1,000 brands with the 98 million fans that attend Live Nation Entertainment events each year.

APPLICATION DEADLINE: Sunday 17th May 2026. We reserve the right to close applications at any time so encourage early application where possible.

#LI-SL1

Live Nation Entertainment will never request payment or equipment purchases as part of the hiring process. Recruiters will only contact candidates from official Live Nation or affiliated brand email domains.

Junior Data Engineer – Financial Services – £40k - LondonOverview:We’re partnered with a leading financial services organisation in London seeking a Junior Data Engineer to join their growing team. Over the next 12 months, they’re modernising their stack by containerising workflows, migrating to cloud-based data systems, and introducing orchestration tools such as Prefect.This is a hands on role contributing to a next-generation data platform and helping shape a new centralised data engineering function.Role & Responsibilities:

Support the redesign of their data stack, including containerising workflows, migrating to cloud SQL, and introducing tools like Prefect.
Maintain and optimise 60 Python pipelines, refactoring legacy code into modular components.
Keep Power BI dashboards accurate and up to date, supporting evolving business needs.
Help implement validation and anomaly detection within their pipelines to ensure data integrity.
Manage Git workflows and assist in setting up lightweight deployment pipelines.
Maintain clear, up-to-date records of code, processes, and workflows.
Occasionally assist the research desk with Python-based analysis and data visualisation.

Skills & Experience:Essentials:

BSc in Computer Science or a related discipline
Solid Python programming skills
Good working knowledge of SQL
Comfortable using Git for version control

Desirables:

Exposure to workflow orchestration tools (e.g. Prefect, Airflow, Dagster)
Experience with cloud data warehouses (Azure SQL, Snowflake) or dbt
Basic familiarity with Docker and BI tools (Power BI, Tableau)
Interest in shipping, financial markets, or commodities

Package:

£35-40,000 basic salary + bonus
Excellent career progression opportunities
5 days per week in brand new London office

Junior Data Engineer – Financial Services – £40k - London

BI Analyst

Harnham - Data & Analytics Recruitment

BI ANALYST

LONDON/HYBRID

UP TO £70,000

This is a rare opportunity to join a high organisation at a pivotal stage of scale up. Sitting within a centralised Business Intelligence function, you will play a key role in shaping how data is used across the business, influencing decisions at pace and delivering insight that genuinely drives value.

ROLES AND RESPONSIBILITIES:The BI Analyst will:

Use SQL to explore data, build well structured datasets and deliver repeatable analysis
Design, build and maintain dashboards using modern BI tools such as Tableau or similar
Deliver recurring MI and reporting to support commercial, operational and risk decisions
Identify and implement opportunities to automate manual reporting processes
Support performance monitoring across key business domains
Translate business requirements into clearly defined and documented metrics
Contribute to improving data quality, modelling standards and the wider semantic layer

YOUR SKILLS AND EXPERIENCE:

The ideal candidate will have the following skills and experience:

Strong commercial experience in a BI Analyst, Data Analyst or Reporting Analyst role
Advanced SQL skills, including joins, aggregations and complex queries
Experience building data models and transformations, ideally using dbt
Exposure to semantic modelling, star schemas or Kimball style methodologies
Experience with data visualisation tools such as Tableau, Power BI or Looker
Comfortable working with stakeholders and explaining insight to non technical audiences
A value driven mindset with clear examples of impact from your analysis

APPLY BELOW!

Anaplan Model Builder

Ubique Systems UK Limited

Hiring: Anaplan Model Builder (Contract Inside IR35)

Location: Paddington, London, UK (Hybrid)
Contract Type: Inside IR35
Rate: £400 £450 per day (negotiable)
Domain: Telecommunications/Media

Overview

We are seeking an experienced Anaplan Model Builder to support a large-scale planning transformation programme focused on driver-based forecasting and predictive analytics.

This role sits within a forward-looking Planning function driving data democratisation, enabling improved forecast accuracy and deeper visibility into business performance across P&L metrics.

You will play a key role in designing and delivering scalable, user-centric Anaplan models, working closely with Solution Architects, Product Owners, and business stakeholders in an Agile delivery environment.

Key Responsibilities

Build and enhance Anaplan models aligned with best practices, approved designs, and logical data structures
Develop driver-based planning and predictive forecasting capabilities
Ensure models are scalable, accurate, and optimised for performance
Conduct end-to-end testing to validate model functionality and business alignment
Design models that are intuitive, user-friendly, and value-driven
Build and maintain data integrations between Anaplan and external systems
Collaborate with cross-functional teams to deliver within Agile sprint cycles
Translate business requirements into effective technical solutions meeting acceptance criteria
Support model adoption and stakeholder engagement to maximise business value
Produce clear documentation and enablement materials (including user guides and walkthroughs)
Contribute to continuous improvement and innovation within the Anaplan ecosystem

Required Skills & Experience

Proven experience in Anaplan model building (1 3 years) within enterprise environments
Strong expertise in driver-based planning and forecasting models
Solid understanding of data modelling and dimensional design
Experience delivering digital transformation initiatives in cross-functional settings
Strong analytical capability with experience translating data into actionable insights
Ability to engage and influence senior stakeholders
Experience working in Agile delivery environments

Preferred

Anaplan Model Builder Certification (Level 1 3)
Exposure to data tooling such as Tableau, GCP, DBT, or similar platforms

Key Behaviours

Strong stakeholder management across complex, Matrix environments
Collaborative, solution-oriented mindset
Resilient and adaptable in fast-paced delivery environments
Focused on continuous improvement and value creation
High levels of integrity, accountability, and professionalism

Why This Role

Opportunity to contribute to a large-scale planning transformation
High visibility across finance and business operations
Work on cutting-edge Anaplan use cases in predictive analytics
Collaborative and innovation-driven environment

Business analyst - private equity

Working with clients across Europe, you will be responsible for supporting projects to drive operational improvements within investment firms. These projects usually involve working with significant amounts of financial data and typically centre around digital transformation e.g. implementing a new system. You must be comfortable working across multiple projects in a busy team, with a flexible mix of office-based and home-working arrangements. In this role you will: 1. Overseeing project deliverables including managing and delegating to junior resources as well as supporting the lead consultant to ensure projects are delivered on time and on budget 2. Work closely with lead consultants to support each project engagement from scoping through to solution design, testing, training and implementation 3. Data analysis and data modelling, including advanced MS Excel and experience using data visualisation tools like Power BI & Tableau 4. Analyse financial data, transforming and reconciling end results to support data migration and technology implementation 5. Deliver high quality outputs, using data to draw meaningful conclusions and presenting the client with more than just the numbers 6. Lead Project Management Office (PMO) activities, as well as building an in-depth understanding about the private equity and alternative investment industry. The successful senior consulting analyst will: 1. Hold a degree or post graduate qualification in a related field, such as Finance, Accounting, Business, Technology, Engineering or Economics 2. Have experience with eFront, iLevel, Lemonedge, Allvue, Investran, Dynamo, Dealcloud or similar private equity or fund administration software - highly desirable 3. Excellent skills in MS Excel, including advanced functions, macros and pivot tables 4. Candidates with experience of working with financial data or working with technical tools such as SQL & Power BI will be at an advantage 5. Have previous experience with a financial organisation or consulting firm 6. Be able to demonstrate a genuine interest in building a career in the management consulting industry, and a passion for technology 7. Have good attention to detail and be comfortable working with data and software packages. You will also have exceptional communication skills and be able to build relationships with people at various levels within an organisation. This client offers a competitive base salary, comprehensive package including private health cover and contributory pension, as well as study support for professional training and qualifications.

Data Analyst/ Data Engineer - KPI Dashboard

Hays Specialist Recruitment Limited

Role Purpose

The Data Analyst / Data Engineer will lead the discovery, interpretation, and presentation of data to enable AI-driven solutions for our client, embedded within operational teams. The role focusses on turning complex, often legacy, datasets into clear insight, narrative, and decision-ready outputs, while ensuring data foundations are sufficiently robust to scale across OpCos. This position requires strong analytical judgement, stakeholder consultancy skills, and hands-on capability to shape and evolve supporting data pipelines.

Contract - 6 months (high possibility to extend further)

Location - waterside (UB7 0GB)

Hybrid - 2-3 days onsite

Pay - Premium-level role; competitive rates (inside IR35)

Key Responsibilities

Discover, explore, and process data from various sources (relational databases, flat files such as CSV, YML, XLS), forming a deep understanding of content, limitations, and business relevance.
Identify, investigate, and clearly articulate data quality, completeness, and consistency issues, including their downstream impact on analytics and AI use cases.
Challenge data provenance and assumptions in legacy datasets, reframing against current needs
Translate business questions and operational needs into meaningful KPIs, metrics, dashboards, and analytical narratives consumable by non-technical stakeholders.
Create clear metadata and documentation that explains datasets, transformations, assumptions, and analytical outputs to support reuse and trust
Partner closely with Data Scientists and Visualisation specialists to enable advanced analytics.
Support the adoption of MRO AI Solutions within BA operational workflows by ensuring insights are actionable, timely, and well-embedded in decision-making processes.
Design, build, and optimise data pipelines for ingestion, transformation, and storage.
Ensure data quality, integrity, and security controls are applied across systems.
Apply cloud and data-engineering best practices pragmatically to ensure solutions scale where needed across OpCos, without over-engineering
Design data architectures and pipelines that support multi-OpCo deployment, ensuring modularity and interoperability.

Required Skills & ExperienceCore Data Analytical Capabilities

Strong experience in data analysis within a product or operational environment, with demonstrable impact on decision-making
Advanced hands-on experience with data processing and analysis tools (SQL, Python, Pandas, etc), with a bias towards exploration, insight and explanation
Proven ability to understand legacy datasets/pipelines and to evaluate their fitness for new use cases
Comfortable working independently and communicating with non-technical stakeholders

Supporting Data Engineering Capabilities

Solid understanding of data modelling concepts and API-driven data integration to influence pipeline design
Proven experience in developing, testing, and deploying data solutions into production environments, ensuring reliability, scalability, and maintainability beyond proof-of-concept or prototype stages.
Practical expertise in Python, SQL, and modern ETL or orchestration frameworks.
(Preferred) Skills in data visualisation (PowerBI, Tableau, and/or other dashboarding tools)
(Preferred) Hands-on experience with cloud platforms, ideally AWS

Consulting-Level Competencies

Significant experience in similar roles, with a proven ability to integrate quickly into new teams and deliver immediate value.
Ability to design enterprise-grade data solutions under tight timelines.
Strong stakeholder engagement and solution-oriented mindset.
Track record of creating high-impact outcomes and driving stakeholder satisfaction from day one.
Ability to implement standards and frameworks for scalable data solutions across multiple operating companies.
Familiarity with airline or logistics data domains is a plus.

Location & Travel

Initial co-location with client teams in London is essential to ensure close collaboration.
Candidates must also be prepared to occasionally travel internationally during later stages to facilitate group-wide deployment.

CompensationPremium-level role; competitive rates aligned with UK consultancy benchmarks.

What you need to do nowIf you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now.If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Hays Talent Solutions is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found at hays.co.uk

Urgent opening - Anaplan Model Builder - Paddington, London, UK

Ubique Systems UK Limited

Job Purpose:

The Planning team are on a mission to transform the company’s planning and forecasting processes through building driver-based forecasting models in Anaplan, as part of the overall Data Democratisation strategy. Predictive Analytics in Anaplan will improve forecast accuracy and give our stakeholders a deeper understanding into the performance drivers behind important business KPIs across the company’s P&L, ultimately driving better decision making and accelerating value growth.

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 person will be working closely with Solution Architects and other 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.

Primary 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 optimise 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

Required experience and skills

Proven track record of successfully driving digital transformation at pace in a cross-functional environment
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
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
Experience in promoting and maximising the value of agile ways of working
Preferred: completed Anaplan Model Builder L1-3
Preferred: basic knowledge of other Data Democratisation tooling such as Tableau, Atlan, GCP and DBT

Required behaviours

Demonstrable experience proactively managing and influencing a range of complex cross-functional stakeholders
Managing complexity and Matrix working environment: working collaboratively within cross-functional teams and squads to develop the best possible solutions
Experience in driving continuous improvement of processes and delivery of products to stakeholders, whilst also embracing and managing organisational change
Implements coping mechanisms when faced with adversity, uncertainty and challenge
Demonstrates tenacity and perseverance to deliver goals and objectives
Strong decision making including incorporating stakeholder views to support own stream of activity. Able to remain impartial ensuring efforts are focussed on action
Displaying a drive to succeed while focused on delivering results and outcomes
Able to foster an environment of trust, support, inclusivity and collaboration
Behaving with integrity, honesty, respect and empathy

Senior Technical Account Manager - Intuit

{“description”: "Join the Intuit Data Exchange (IDX) team as a Customer Experience professional focusing on technical account management for Intuit offerings. As a Technical Account Manager (TAM) you’ll be a critical link between our financial data partners, the IDX platform, product management and development teams across offerings. Using your knowledge of API integrations you’ll ensure high-quality and high-performance data connectivity for Intuit’s offerings. Day to day you’ll act as a trusted advisor, proactively monitoring KPIs, addressing the needs of internal and external stakeholders, providing technical and domain SME guidance, and holding all contributing teams accountable for key initiatives in order to facilitate the adoption and optimisation of Intuit’s data connections and related capabilities.

Responsibilities

Day to day you can expect to:

Monitor provider API connection health, data freshness and quality, and analyse any low performance against SLAs
Provide technical and business insights to support progress of relevant provider integration initiatives against target KPIs
Identify and communicate dependencies and risks for provider integration deployments as needed
Drive op mechs with internal and external stakeholders for visibility of ongoing connection issues and status
Leverage customer feedback, metrics and consistent UAT framework to contribute informed insights, and collaborate with cross-functional teams, to continuously optimise and enhance the quality of customer and/or expert data connectivity experiences in relevant offerings
Serve as the primary technical contact for assigned partners, ensuring high levels of partner satisfaction.
Develop a deep understanding of partners’ business objectives and technical environments to effectively position and support our solutions.
Provide proactive technical guidance and recommendations to partners, anticipating potential challenges and offering solutions.
Manage and prioritise partner API issues, working closely with engineering and support teams to ensure timely resolution and clear communication to the partner.
Conduct regular partner reviews to share KPIs and YoY performance insights, identify areas for improvement, and present new features or solutions.
Collaborate with sales teams on pre-sales activities as needed, providing technical insights and demonstrations.
Facilitate product capability reviews for partners, empowering them to scope and prioritize adoption of new updates in future roadmaps.
Contribute to the creation of technical documentation, best practices, and knowledge base articles.
Stay up-to-date with industry trends, emerging technologies, and competitive landscapes within fintech API and service provider offerings.
Represent the partner’s asks and feedback internally, ensuring partner needs are reflected in product roadmaps when appropriate.

Qualifications
Education & Experience

Bachelor’s degree in Computer Science, Information Technology, Finance, or a related technical field.
5 years of experience in a technical account management, sales engineering, or similar partner-facing technical role, preferably within the fintech industry.

Technical Skills

Strong understanding of financial technologies, for example payment systems, banking platforms, trading systems, or other relevant fintech domains.
Ability to understand and articulate complex technical concepts related to APIs, cloud platforms, data security, and system integrations.
Experience with systems such as Tableau, Splunk, SQL etc for data analysis and troubleshooting (or similar)
Familiarity with CRM software (e.g., Salesforce) and core project management concepts.

Soft Skills

Excellent communication, presentation, and interpersonal skills, with the ability to effectively communicate technical information to both technical and non-technical audiences.
Proven ability to build strong relationships and influence stakeholders at all levels of an organisation.
Problem-solving and analytical abilities, with a focus on partner success.
Strong organisational skills and ability to manage multiple priorities in a fast-paced environment.
Proactive and results-oriented with a partner-centric mindset.

Preferred Qualifications

Fluency in data APIs and relevant authentication protocols (OAuth, OIDC)
Experience with agile methodologies and software development lifecycles.
Familiarity with data standards in the financial services industry (OFX, FDX, Open Banking, PSD2/3)

Travel

This role has the potential for travel to partner sites and conferences as required, up to 10%.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.", “salary_raw”: “Row(double=None, string=None)”}

Job Title: Data Engineer (SQL, Python) This role offers the opportunity to work with very large, complex data sets to influence product decisions for digital products used by hundreds of millions of people every day. You will contribute directly to user growth, retention and experience by building and maintaining robust data warehouse solutions, data models and pipelines. You will join a high-calibre data engineering team solving challenging web and mobile data problems at a scale that few organisations can match, with a strong focus on adoption and buyer personalisation. Responsibilities Maintain and support existing ETL pipelines and data processes running in production, ensuring stability and reliability. Work with very large-scale data sets, applying appropriate SQL techniques and performance optimisation strategies. Manage data warehouse plans and roadmaps for a product or group of products, ensuring alignment with business priorities. Interface regularly with engineers, product managers and product analysts to understand data needs and translate them into technical solutions. Build deep data expertise in your areas of ownership and take responsibility for data quality across those domains. Design, build and launch new production-grade data models that support analytics, reporting and personalisation use cases. Design, build and launch new data extraction, transformation and loading (ETL) processes in production environments. Rewrite and refactor data pipelines when upstream tables, schemas or privacy rules change, updating SQL and Python code accordingly. Implement changes to data visualisation dashboards, including wholesale reimplementation to meet new visualisation standards and guidelines. Contribute to task-focused delivery, taking ownership of tightly scoped backlog items and driving them to completion within agreed timelines. Use data analysis to identify deliverables, gaps and inconsistencies, and propose solutions to improve data coverage and quality. Communicate data-driven insights and technical considerations clearly and effectively to both technical and non-technical audiences.Essential Skills At least 5 years’ experience with programming languages, with strong hands-on experience in Python. At least 5 years’ experience writing efficient, optimised SQL statements for large and complex data sets. Hands-on experience with schema design and dimensional data modelling. Strong ability to analyse data to identify deliverables, gaps and inconsistencies. Ability to understand and work with Python language constructs, including constraints, conditional statements and code structure, in order to read, debug and rewrite existing code. Proficiency in building and maintaining ETL pipelines using tools or frameworks similar to Airflow (for example, internal orchestration tools with comparable concepts). experience working with large-scale data sets and applying SQL techniques suitable for high-volume environments. experience with data visualisation and dashboard development, ideally using Tableau. Excellent communication skills, including the ability to explain data-driven insights and technical topics clearly to stakeholders.Additional Skills & Qualifications Familiarity with industry-standard data pipeline orchestration tools such as Airflow or similar frameworks. experience working with cross-functional teams including product management, analytics and marketing. Strong problem-solving skills and the ability to work independently on task-focused backlog items. Attention to detail when implementing changes to dashboards, visualisation standards and reporting guidelines.Why Work Here? You will work on cutting-edge data technologies and large-scale systems that operate at a level of complexity and volume matched by few organisations. The environment encourages collaboration with some of the brightest minds in data engineering, product and analytics, offering continuous learning and exposure to modern tools and practices. Work Environment You will work in a modern, technology-driven environment focused on large-scale web and mobile data. The team uses SQL, Python and advanced data warehousing technologies to process and analyse massive data sets. Location London, UK Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)> To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)> We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at (url removed)/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield

Market Intelligence Manager

A university is looking for an experienced Market Intelligence / Business Analytics Lead to support the development of high-impact executive programmes. This is a hands-on interim role focused on delivering data-driven insights that shape strategic decisions and drive commercial success. Client Details University in Central London Description Validate demand for new programmes through market research, trend analysis, and competitor benchmarking Identify portfolio gaps and new opportunities (e.g. micro-credentials, hybrid learning, corporate solutions) Analyse and optimise the recruitment funnel from awareness to conversion Provide clear, actionable insights to senior stakeholders to inform strategy Profile 5+ years in market intelligence, business analytics, or strategic planning Strong skills in Power BI, Tableau, and CRM systems (e.g. Salesforce) Proven ability to translate complex data into executive-ready recommendations Experience in higher education or professional services preferred Job Offer Day rate role ASAP start Sitting within a marketing function 2-3 days in the office - Hybrid

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