Data Analytics Manager

The Data Analytics Manager will be responsible for leading and developing a team of BI professionals and data scientists. This includes ensuring that requests are appropriately prioritized and workloads efficiently managed across both BI and data science functions. The role will drive the development of a self-serve data mentality across the business and lead the execution of advanced analytics projects adding significant value to the wider business.

The ideal candidate will have strong leadership, communication, and stakeholder management skills, as well as hands-on expertise in SQL, Power BI, and data science tools such as Python

Team & Workload Management

• Line management responsibilities for a team of BI developers and data scientists to support the MI, data insights, and advanced analytics needs of the wider business.
  
  
• Support team development through regular 1-2-1s, performance reviews, identification of training requirements, and creating a shared learnings culture & Provide business support across the creation of reporting datasets, BI reports, dashboards, and predictive analytics models.
  
  
• Prioritising requests and management of team workloads, balancing short-term reporting needs with longer-term data science initiatives and ensure all deliverables are completed within timelines and to high-quality standards.
  
  Delivering Quality Of Service
  
  
• Ensure regular communication with stakeholders so they know the status and progress of their requests.
  
  
• Ensure all BI and data science deliverables are accurate, actionable, and meet business requirements.
  
  
• Implement quality control and peer-review measures to prevent inconsistencies across all outputs.
  
  
• Maintain a single source of truth for data and ensure consistency across BI reporting and data science outputs.
  
  
• Stay current with business data changes and stakeholder requirements to keep all insights relevant.
  
  Development Of The Department
  
  
• Support the business in fostering a self-serve data mentality, reducing dependency on static BI reports.
  
  
• Oversee the development of departmental dashboards and self-service analytics tools and guide the data science team in designing, testing, and deploying models and analytics solutions that improve decision-making and operational efficiency.
  
  
• Provide senior management with regular updates on insights, trends, and opportunities identified through both BI and data science work.
  
  
• Lead the evaluation and adoption of new BI and data science technologies to improve the team’s overall effectiveness.
  
  
• Identify opportunities to integrate automation, AI, and advanced analytics into both BI and broader business functions.
  
  Qualifications
  
  
• Leadership & Team Management – Proven experience leading a multidisciplinary team, including BI professionals and data scientists.
  
  
• BI & Data Science Expertise – Proficiency in tools such as SQL, Power BI, Python, and ML frameworks.
  
  
• Project & Workload Management – Strong organizational skills to manage priorities, deadlines, and multi-stream deliverables.
  
  
• Stakeholder Engagement – Ability to communicate technical concepts to all stakeholders.
  
  
• Problem-Solving & Innovation – A proactive and innovative approach to resolving data-related challenges and identifying new opportunities for data-driven value creation.
  
  About us
  
  AJ Bell is one of the fastest-growing investment platform businesses in the UK offering an award-winning range of solutions that caters for everyone, from professional financial advisers to DIY investors with little to no experience. We have over 593,000 customers using our award-winning platform propositions to manage assets totalling more than £90.4 billion. Our customers trust us with their investments, and by continuously striving to make investing easier, we aim to help even more people take control of their financial futures.
  
  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’ for six consecutive years and in 2024 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 27 days, increasing up to 31 days with length of service & 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
  
  
• Free gym membership, with an on-site gym providing a wide range of free classes
  
  
• Employee Assistance Programme
  
  
• Enhanced maternity, paternity, and shared parental leave & Discounted nursery fees at Kids Planet on Exchange Quay
  
  
• Loans for travel season tickets
  
  
• Death in service scheme
  
  
• Calendar of social events
  
  
• Parking at Exchange Quay
  
  
• Ongoing technical training & Professional qualification support
  
  Hybrid working
  
  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 a minimum of 50% of your working time per month in the office. For new team members, an initial period will be 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