Senior Data Analyst: AI-Driven Analytics & Cloud

AJ Bell Management Limited
Manchester
5 hours ago
Create job alert

We are now currently looking to a new Senior Data Analyst to the team here at AJ Bell.

Purpose of the role

The Senior Data Analyst plays a critical role in delivering high-quality analytical insight that drives decisions across AJ Bell. The role blends advanced analytics, data modelling, and stakeholder engagement to deliver solutions that are accurate, scalable, and aligned to our strategic data ambitions. The jobholder will support cloud transformation, adoption of AI capabilities, and the development of best-in-class analytical practices.

What does the job involve?

The key responsibilities of the role are as follows:

Strategic & Cross-Business Impact

  • Support delivery of AJ Bell’s Data Strategy and development of a modern analytics capability.
  • Provide analytical leadership for transition from on‑premise to cloud solutions, including Snowflake.
  • Identify, champion and deliver improvements and innovations including AI adoption.

Analytics Delivery & Technical Excellence

  • Deliver high‑quality analytical outputs for senior data leadership.
  • Proactively deep dive and explore challenges to create recommendations
  • Conduct data design, modelling and exploration to support trusted reporting.
  • Perform data discovery to understand new and existing data sources.
  • Produce compelling visualisations and dashboards using Power BI.

Governance, Quality & Risk

  • Peer‑review team outputs and code to maintain high standards.
  • Ensure departmental processes are followed and continuously improved.
  • Identify and embed controls for emerging analytics‑related risks.

Stakeholder Engagement

  • Build strong partnerships across the business to translate requirements into analytical solutions.
  • Provide guidance on data mapping, modelling and solution design.
  • Communicate complex ideas effectively to technical and non‑technical audiences.

Leadership & Development

  • Mentor and upskill junior analysts.
  • Promote analytical best practice, documentation and knowledge‑sharing.

Competence, knowledge and skills

  • Significant experience in a modern analytics environment.
  • Demonstrable experience in hypothesis-led problem solving
  • Application of rigorous hypothesis thinking
  • Quantification of commercial impact to drive actionable insight & meaningful business outcomes.
  • Experience with SSRS and SSIS.
  • Understanding of dimensional modelling techniques (e.g., Kimball).
  • Advanced proficiency in Python or another analytical language.
  • Cloud experience, ideally Snowflake.
  • Use of AI within analytics workflows.
  • Strong data storytelling and insight communication abilities.
  • Ability to scope, design and plan analytical projects.
  • High‑quality stakeholder engagement and communication skills.
  • Ability to prioritise effectively and adapt to changing demands.
  • Self‑motivated and committed to continuous learning.

About us:

AJ Bell is one of the UK’s fastest-growing investment platforms, serving over 644,000 customers and managing £103.3 billion in assets. Through our award-winning platform, we support everyone from professional financial advisers to first-time investors, making it easier to take control of your financial future and feel good investing. With over 1,500 employees across Manchester, London, and Bristol, AJ Bell is a FTSE 250 company and has been recognised as one of the UK’s Best 100 Companies to Work For for six consecutive years, as well as a Great Place to Work® in 2025 and 2026. We offer a collaborative, friendly environment built on strong guiding principles and pride in what we do.

Having listed on the Main Market of the London Stock Exchange in December 2018, AJ Bell is now a FTSE 250 company.

Headquartered in Manchester with offices in central London and Bristol, we now have over 1,500 employees and have been named one of the UK's 'Best 100 Companies to Work For’ forsix consecutive yearsand in 2025 named a Great Place to Work®.

At AJ Bell you can expect a friendly working environment with a strong sense of teamwork, we have a great sense of pride in what we do, and this is reflected in our guiding principles.

Our perks and benefits:

  • Starting holiday entitlement of 26days, increasing up to 31 days with length of service and a holiday buy and sell scheme
  • A choice of pension schemes with matched contributions up to 7%
  • Discretionary bonus scheme
  • Annual free share awards scheme
  • Buy As You Earn (BAYE) Scheme
  • Health Cash Plan – provided by SimplyHealth
  • Discounted private healthcare scheme and dental plan
  • Freeon-site gym providing a wide range of free classes
  • Employee Assistance Programme
  • Sick pay+ pledge
  • Enhanced maternity, paternity, and shared parental leave
  • Discounted nursery fees at Kids Planet on Exchange Quay
  • Loans for travel season tickets
  • Charitable giving opportunities through salary sacrifice
  • Calendar of social events, including monthly payday drinks, annual Christmas party, summer party and much more
  • Parking at Exchange Quay (Subject to availability)
  • Personal development programmes built around you and your career goals, including access to personal skills workshops
  • Ongoing technical training
  • Peer recognition scheme, with rewards including restaurant and shopping vouchers or time off
  • Monthly leadership breakfasts and lunches
  • Casual dress code
  • Access to a range of benefits from our sponsorship deals

At AJ Bell, our people are the heart of our culture. We believe in building strong connections by working together. That's why we offer a hybrid working model, where you'll spend 3-4 days per week in the office. For new team members, the first month will be spent full-time in the office to help you immerse yourself in our business and build valuable relationships with your colleagues.

AJ Bell is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and all employees are empowered to bring their whole self to work.

We do not discriminate on the basis of race, sex, gender identity, sexual orientation, age, pregnancy, religion, physical and mental disability, marital status and any other characteristics protected by the Equality Act 2010. All decisions to hire are based on qualifications, merit and business need.

If you like the sound of the above, or just want to know more about the company and the role, we'd love to speak to you.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Analyst – AI-Driven BI & Dashboards

Senior Data Analyst: AI-Powered Insights & Dashboards

Senior Data Analyst — Lead AI/ML Data Projects

Senior Data Analyst: Cloud & AI Analytics Leader

Senior Data Analyst

Senior Data Analyst

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.