Senior Data Analyst

AJ Bell
Salford, United Kingdom
3 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst (Power BI |Data Transformation) | Hertfordshire

Avanti Recruitment Watford, Hertfordshire, United Kingdom
£50,000 – £75,000 pa Hybrid

Business Data Analyst

Randstad Technologies Recruitment London, City And County Of the City Of London, United Kingdom
£250 – £277 pd On-site

Senior Data Architect

Altro Norton, Hertfordshire, SG6 1AG, United Kingdom

Junior Data Engineer

Hays Technology London, United Kingdom
£310 pd

Senior Data and Insights Analyst

RG Setsquare Essex, United Kingdom
£58,231 pa Permanent

Finance Data Analyst

Hays Accounts and Finance London, City And County Of the City Of London, United Kingdom
£55,000 – £60,000 pa Hybrid
Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Senior
Education
Degree
Posted
30 Apr 2026 (3 weeks ago)

Benefits

26 days holiday, increasing with service + buy/sell scheme + bank holidays 7% Pension with matched contributions Discretionary bonus scheme Share schemes (including free shares and BAYE) Health Cash Plan and discounted private healthcare Free onsite gym Enhanced family leave (subject to qualifying criteria) Travel and bike loan schemes Employee Assistance Programme
Company DescriptionJob Description

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

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.
  • Translate data insight into clear commercial recommendations

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.
  • Strong T-SQL skills.
  • 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 AJ Bell

AJ Bell is one of the UK’s fastest-growing investment platform businesses, providing award-winning solutions for everyone, from professional financial advisers to first-time investors.

Today, over723,000 customers trust us to manage more than £108.7 billion of assets. By continually striving to make investing simpler and more accessible, we’re helping more people take control of their financial futures.

We’re proud to be recognised as one of the UK’s Best 100 Companies to Work For for six consecutive years, and a Great Place to Work in 2025 and 2026 a reflection of our supportive and collaborative culture.

What we offer

  • 26 days holiday, increasing with service + buy/sell scheme + bank holidays
  • 7% Pension with matched contributions
  • Discretionary bonus scheme
  • Share schemes (including free shares and BAYE)
  • Health Cash Plan and discounted private healthcare
  • Free onsite gym
  • Enhanced family leave (subject to qualifying criteria)
  • Travel and bike loan schemes
  • Employee Assistance Programme

Life at AJ Bell

  • Regular social events including summer and Christmas parties
  • Learning and development opportunities tailored to you
  • Casual dress code
  • Friendly, supportive team environment

Our ways of working

We offer hybrid working, with a minimum of50% of your working time per month spent in the office.

For new starters, there’s an initial period of full-time office working to help you settle in and build relationships.

Inclusion & diversity

We’re committed to creating an inclusive environment where everyone feels respected and able to be themselves at work.

We welcome applications from all backgrounds and make hiring decisions based on skills, experience and potential.

Industry Insights

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

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.