Job Description
We are currently looking for a Senior Data Analyst to join the team at AJ Bell. The Senior Data Analyst plays a critical role in delivering high‑quality analytical insight that drives decisions across the organization. The role blends advanced analytics, data modelling, and stakeholder engagement to deliver solutions that are accurate, scalable, and aligned to our strategic data ambitions.
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 the 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 and 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.
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.
Our Ways of Working
We offer hybrid working, with a minimum of 50% 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.
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