Data Analytics and Insights Manager

Role Overview

The Data Analytics and Insights Manager leads the Data Analytics and Insights team, owning analysis, reporting, and analytics strategy across the business. The team’s work reaches colleagues and decision-makers right across interactive investor. The manager defines what the business needs to measure and why, translates that into a prioritised analytics roadmap, and makes sure the answers people get are accurate, timely, and genuinely useful.

What You Will Do

The Data Analytics and Insights Manager will define the analytics-as-a-service strategy, engage stakeholders to understand their questions, and own the analytics roadmap across people, process, and priority. They will treat AI as an essential, everyday tool across the team’s analytics workflows and continually adopt the capabilities that genuinely speed up or improve the work.

Why It Might Be a Fit

The ideal candidate will have strong hands-on analytical capability, experience with modern BI and reporting tools, and a solid understanding of digital analytics platforms. They will be able to translate business strategy into an analytics roadmap and prioritise transparently across competing demands.

Requirements

• Strong hands-on analytical capability: advanced SQL, data modelling, visualisation, and applied statistics
• Experience with modern BI and reporting tools, such as Power BI, and lightweight app frameworks such as Streamlit
• Experience defining and governing metrics, ideally including semantic layer or single-source-of-truth approaches
• Solid understanding of digital analytics platforms, such as Google Analytics and Matomo, and of journeys, cookies, and tracking methods
• Hands-on experience embedding AI as a core, everyday tool in analytics workflows
• Experience enabling AI-driven self-service analytics, ideally in partnership with data science or AI teams
• Experience owning or maintaining a data catalog, metadata, and ontology/taxonomy, alongside metric governance
• Proven experience managing and mentoring a team of data professionals
• Ability to translate business strategy into an analytics roadmap and prioritise transparently across competing demands
• Excellent stakeholder management and communication skills across technical and non-technical audiences
• Working knowledge of data governance and privacy obligations, including GDPR
• Experience ensuring analytics outputs are accurate, documented, and appropriately controlled

Benefits

• Group Personal Pension Plan – 8% employer contribution and 4% employee contribution
• Life Assurance and Group Income Protection
• Private Medical Insurance – Provided by Bupa
• 25 Days Annual Leave, plus bank holidays
• Staff Discounts on our investment products
• Personal & Well-being Fund – Supporting your physical and mental wellness
• Retail Discounts – Savings at a wide range of high street and online retailers
• Voluntary Flexible Benefits – Tailor your benefits to suit your lifestyle

Tagged as: Data Analysis