Business Analytics Manager

The Business Analytics Manager will partner with divisions across Union Maritime to design, build and embed the analytical tools that underpin decision-making, management reporting and the day-to-day running of the business. Sitting between the Analytics function and the wider organisation, the Manager will work alongside commercial, operations, technical, finance and corporate teams to understand how they work, pinpoint where time, insight or control is being lost, and deliver practical solutions: dashboards, self-service reporting, models, automated workflows and AI-enabled tools. This is a change role as much as a technical one. The Manager is expected to think critically, challenge current ways of working and lead divisions away from manual, fragmented processes towards simpler, data-driven and automated ones. Working closely with divisional heads and senior leadership, the Manager will build data literacy across the business, set consistent data standards, and make sure the tools delivered are adopted and create lasting value. Requirements Driving Change & Challenging Current Practice · Critically review how divisions currently work, including their processes, reports, spreadsheets and handoffs, and challenge practices that are manual, duplicated, slow or no longer fit for purpose. · Build the case for change with evidence, quantifying the time, cost and risk of current approaches against the benefits of the alternative. · Lead change through to adoption, working with divisional heads to redesign processes, retire legacy reports and tools, and embed new ways of working. · Maintaining a visible pipeline of improvement opportunities. Analytical Tool Development · Design, build and maintain dashboards, reports and self-service tools, that people rely on in their daily work. · Develop analytical models and calculators that support planning, budgeting, performance monitoring and operational decision-making. · Replace recurring manual reporting and data preparation with automated solutions. · Embed AI into analytics workflows and business tools to speed up insight generation, raise productivity and strengthen data-driven decisions. · Test, document and hand over every solution so that it is reliable, easy to use and supportable over time. · Deliver accurate, timely management reporting and KPI frameworks for divisions and senior leadership. · Provide ad hoc analysis and insight for business cases, performance reviews and operational decisions. · Present findings and recommendations clearly and persuasively to non-technical audiences, including senior management. · Work with IT and data owners to identify, access and integrate data from internal systems and external sources. · Establish consistent metric definitions and data standards so that the business works from a single source of truth. · Monitor data quality and put controls in place so that outputs can be relied upon. · Ensure all tools meet the company's data…