Analytics Manager

Location: Hybrid (2-3 days/week in Trowbridge)Salary: Up to £55,000 + benefits

Are you passionate about data and solving real-world business problems? Our client, a well-established multinational food business, is seeking a hands-on Analytics Manager to join their high-performing data team.

This role sits within the Forensic Analytics function - focused on deep-dive analysis and strategic problem-solving. You'll work across international B2B and D2C markets, delivering actionable insights on key business questions like:

• "Why are sales dropping in this category?"

• "How can we improve logistics efficiency?"

• "Is 350 products the right number for our portfolio?"

You'll collaborate with stakeholders, shape analytics roadmaps, and lead projects from data exploration to insight delivery.

• Define analytical approaches to tackle business challenges

• Identify and explore relevant data sources

• Deliver clear, insight-driven storytelling using visualisation tools

• Analyse marketing campaign performance (MMM, attribution, ROI)

• Support commercial strategy through segmentation and customer insights

• Strong SQL and data visualisation skills (e.g. Tableau, Power BI)

• 3+ years in marketing or commercial analytics

• Experience with campaign analysis and business performance insight

• Excellent communication and stakeholder management

• Bonus: Python experience or a consulting background

• Join a data-rich, insight-driven organisation with a strong ethical mission

• Work within a team of 16 data professionals, reporting to a senior leader with 1 direct report

• Exposure to both operational and strategic analytics challenges across international markets

• 25 days holiday + bank holidays (with option to buy more)

• Discretionary bonus scheme

• Matched pension contributions (up to 4%)

• Life assurance

• Free on-site parking & subsidised canteen

• Staff perks & discount scheme (tech, retail, lifestyle)

• Free Christmas gift (turkey or voucher)

• Stage 1: Video interview with VP of Data

• Stage 2: In-person interview with senior leadership

• Stage 3: Stakeholder interviews (cross-functional assessment)

• Includes verbal and numerical reasoning assessments

If you're ready to turn data into business value - apply today.