Data Analytics and Insights Manager

Title: Data Analytics and Insights Manager

Location: Hybrid – Manchester OR Leeds. 3 days on site per week, 2 days remote.

Salary: From £60,000

interactive investor is an award-winning investment platform that puts its customers in control of their financial future.

We’ve been helping investors for nearly 30 years. We’ve seen market highs and lows and been resilient throughout. We’re now the UK’s number one flat-fee investment platform, with assets under administration approaching £75 billion and over 450,000 customers.

For a simple, flat monthly fee we provide a secure home for your pensions, ISAs and investments. We offer a wide choice of over 20,000 UK and international investment options, including shares, funds, trusts and ETFs.

We also bring impartial, expert content from our award-winning financial journalists, highly engaged community of investors, and daily newsletters and insights.

As Data Analytics and Insights Manager at interactive investor, you lead our Data Analytics and Insights team and own analysis, reporting, and analytics strategy across the business. You run our centralised centre of excellence for business intelligence, management information, and insight.

Your team's work reaches colleagues and decision-makers right across interactive investor. You'll define what the business needs to measure and why, translate that into a prioritised analytics roadmap, and make sure the answers people get are accurate, timely, and genuinely useful. Just as importantly, you'll build the conditions for self-service, so that routine questions can be answered by the people asking them and your team's time goes to the questions that need real thought.

You'll set the standards for how analytics is built here: governed metric definitions and a shared semantic layer so numbers agree across the business, a well-maintained data catalog and ontology so data assets are discoverable and trusted, version control, testing, and documentation as normal practice, and AI used as a core, everyday part of the team's workflow, not an optional extra, speeding up everything from exploration to narrative reporting.

Working on a "you build it, you run it" basis, your team looks after what it produces - dashboards and reporting products are kept accurate, refreshed as the business changes, and retired when they've served their purpose, so the estate stays trustworthy rather than sprawling.

You'll partner closely with peers across the division. The Data Engineering and Platform Manager owns the platform, pipelines, and analytics instrumentation your team depends on; you own what the business needs from it, though in practice the line is deliberately soft, and you'll shape feasibility together from the start. The Data Science and Enterprise AI Manager owns predictive modelling and Enterprise Agents and AI;

you'll work together to spot where a model, rather than a report, is the better answer. Beyond the division, you'll partner with teams like Commercial, Product, Marketing, Customer Services, Operations, Compliance, and Legal.

As a manager, you'll lead, mentor, and grow a team of Data Analysts, balancing hands-on analysis with strategy and leadership. It's a role that rewards pace and accuracy in equal measure, in a team where people pair on problems rather than pass them over a wall.

• Define the analytics-as-a-service strategy: what the business needs to measure, why it matters, and how insight reaches decisions
• Engage stakeholders to understand their questions, translating business need into clear, prioritised analytics briefs
• Own the analytics roadmap across people, process, and priority, shaped jointly with the Data Engineering and…