Senior Data Analyst

As Senior Data Analyst, you’ll play a pivotal role in transforming Lumina’s consumer, market and behavioural datasets into actionable commercial intelligence for both internal stakeholders and external clients.

Working closely within the data team and collaborating with insight teams and customer success managers, you will develop advanced analytical solutions, forecasting methodologies and predictive models that enhance Lumina’s data products and consultancy offering. By exploring opportunities within complex datasets, you’ll uncover emerging trends and deliver meaningful recommendations that support strategic decision-making.

Your impact will be felt through your curiosity and instinct for asking why, helping to build trust in how data is interpreted and bring greater clarity to how people decide, buy and consume across the food and drink landscape.

• Developing advanced analytical solutions that generate actionable insights from Lumina's proprietary datasets
• Translating complex analytical findings into compelling narratives, recommendations and presentations through effective storytelling
• Designing and implementing forecasting and predictive models that support client decision-making and product development
• Partnering with Insight, Research and Commercial teams to answer high-value business questions
• Building scalable analytical workflows and automation using Python and SQL
• Maintaining and enhancing client-facing dashboards, ensuring analytical findings are communicated effectively
• Evaluating and implementing new analytical methodologies, technologies and approaches
• Contributing to the development of new data products and data strategy

• A naturally curious mindset, with a genuine interest in exploring data and asking why
• Stakeholder management and communication skills, including explaining analysis clearly to different audiences
• SQL and data manipulation skills 
• Python programming capability for analytics, automation and modelling 
• Experience analysing large-scale survey, consumer or behavioural datasets 
• Statistical analysis and forecasting techniques 
• Data modelling and analytical framework development 
• Ability to identify trends, drivers and commercial opportunities from data 
• Experience translating complex analysis into clear business recommendations 
• Experience creating dashboards and data visualisations that effectively communicate insights 
• Understanding of predictive analytics, machine learning and AI applications (desirable)
• Experience using AI-enabled tools and workflows to enhance analytics, automation and insight generation (e.g. Copilot, Codex, Claude) (desirable)

• 6.6 weeks of annual leave (pro-rata for part-time). The equivalent to 25 days plus standard England and Wales bank holidays for full-time colleagues
• One additional day holiday per year after 6 years’ service, up to a maximum 7.6 weeks of annual leave (pro-rata for part-time). The equivalent to 30 days plus standard England and Wales bank holidays for full-time colleagues
• A holiday purchase scheme, allowing employees to purchase up to 3 additional days of annual leave and spread the cost over up to 6 months
• An additional day of paid leave, a ‘MeDay’, allowing you the flexibility to celebrate a cultural or religious event or your birthday. It recognises that everyone’s background is unique and gives you the freedom to mark what matters to you.
• One paid volunteering day per year to support a charity or community initiative of your choice
• Hybrid and agile working opportunities (role dependent)
• Enhanced Pension Contributions, we offer employer pension contributions above the statutory minimum
• Life Assurance Scheme
• Group Income Protection
• Enhanced family-friendly leave pay entitlements
• Wellbeing benefits, including: A health care cash plan, Employee Assistance Programme, Virtual GP service and access to health & wellbeing resources and tools
• Equity, Diversity & Inclusion initiatives, supported by employee-led networks and proud to be a Disability Confident Committed employer
• Cycle to Work Scheme (subject to satisfactory completion of probationary period)
• Electric Car Scheme (subject to satisfactory completion of probationary period)