FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesETLPythonSQL
About the role
Key responsibilities & impact- Lead the design, development, and delivery of analytical data products that support insight-led business decisions. Examples may include customer value models, propensity models, performance measurement frameworks, forecasting solutions and self-service insight products
- Partner with Consumer Insights colleagues to combine behavioural, transactional and attitudinal research data into a single, holistic view of customers
- Act as a trusted partner to stakeholders, proactively engaging to understand their challenges and co-create analytical solutions.
- Own the end-to-end lifecycle of data products—from discovery and prototyping to deployment and stakeholder enablement.
- Support ad hoc business reviews focused on key business questions and areas of opportunity, providing rigorous and timely analysis to help drive progress
- Deliver hands-on analysis using SQL, Power BI, and Python/R, ensuring outputs are robust, scalable, and actionable.
- Translate complex data into clear, compelling narratives tailored to different audiences, including senior leadership.
- Collaborate with data engineering and product teams to ensure data infrastructure supports analytical needs.
- Provide thought leadership on how data, combined with research techniques, can be used to drive value, influence strategy, and improve customer outcomes.
- Mentor junior analysts, fostering a culture of curiosity, technical excellence, and continuous improvement.
- Promote best practices in analytics, data storytelling, and stakeholder engagement across the team.
- Stay abreast of industry trends, tools, and methodologies to continuously evolve the team’s capabilities.
Requirements
What you’ll need- Experience as a critical thought partner in defining analytical solutions, challenging assumptions constructively
- Experience applying customer analytics techniques such as customer lifetime value modelling, segmentation, cohort analysis, propensity modelling or retention analysis.
- Proven experience in stakeholder-facing analytics roles, with a track record of influencing decisions through data.
- Strong hands-on skills in Python or R, SQL, Power BI (including DAX and Power Query)
- Proven experience in using a variety of analytical techniques, matching the appropriate technique to the business problem
- Experience designing and delivering scalable data products or insight frameworks.
- Comfortable managing multiple stakeholders and balancing competing priorities.
- Strong understanding of data modelling, ETL processes, and collaboration with data engineering teams.
- Experience collaborating with Consumer Research and Digital analytics teams and data
- Demonstrated ability to lead analytical initiatives from concept to delivery.
- Experience mentoring or coaching junior analysts.
- Familiarity with agile ways of working and tools such as Jira and Confluence.
Benefits
Comp & perks- Company Bonus Scheme
- Matched pension contributions up to 8.5%
- 26 days annual leave + 2 Life Days (and bank holidays)
- Single Private Health Cover
- Complimentary Private Medical
- Income Protection
- Flexible Benefits – EV Scheme, Money Coach, Will Writing, Mortgage Advice, Dental and Eye Care Schemes.
- Enhanced Family Leave (Maternity, Paternity, Adoption)
- Wellness Allowance £500
- Employee Assistance Programme
- Discounted Health Assessments
- Volunteering Days
- Matched Funding
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Customer Lifetime Value ModellingSegmentationCohort AnalysisPropensity ModellingRetention AnalysisAnalytical TechniquesData Product DesignETL ProcessesData StorytellingStakeholder Engagement
Soft Skills
Critical ThinkingInfluencing DecisionsMentoringCollaborationCuriosity