R
Reward
Lead Insight Analyst
Skills
SQL QueriesLookerTableauData AnalysisAIPower BI
1 month ago
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Important information
Contract type:
Permanent
Location:
London, UK
Work mode:
Onsite
Published on:
13 September 2026
What they need
- The Lead Insight Analyst leads insight delivery and commercial performance across a defined Commerce Media vertical
- This role works closely with Commercial teams and retailers to turn customer, campaign and revenue insight into clear activation plans that support growth, protect performance and identify new revenue opportunities
- Alongside owning insight for a strategic sector, the Lead sets quality standards across the vertical, develops Analysts and Senior Analysts, and ensures insight is used to make better commercial decisions
- Own the insight agenda across the vertical, aligned to commercial growth priorities
- Directly lead analytics for aligned sector within the vertical
- Take accountability for identifying revenue risks and growth opportunities within that sector
- Ensure performance, engagement, and revenue outcomes are actively monitored and optimised
- Work alongside Commercial teams to proactively identify new retailer opportunities
- Lead revenue performance reviews across the vertical and priority sector
- Shape optimisation plans with Commercial and Marketing partners
- Support forecasting interpretation and improvement discussions
- Embed agreed analytical and measurement frameworks across the vertical
- Improve how frameworks are applied to complex retailer and sector challenges
- Identify where existing approaches are unclear, inconsistent or not fit for purpose
- Feed practical requirements and improvement opportunities into the Senior Lead and/or Head of Insights
- Ensure measurement outputs are commercially useful, consistent and clearly understood by Commercial teams and clients
- Act as an extension of the Commercial team, contributing to retailer strategy, account planning and growth conversations
- Lead insight input in high-value pitch and performance conversations
- Influence investment and engagement strategy within the aligned sector
- Position insight as a driver of revenue growth and competitive advantage
- Manage Senior and Insight Analysts
- Embed agreed quality standards across the vertical
- Elevate commercial thinking and analytical rigour
- This is an exciting time to join Reward as we continue to grow as part of the Rezolve Ai Group. You’ll have the opportunity to work in a fast moving, technology led environment, collaborate with talented people across our international business and make a tangible impact in your role
- You’ll have the opportunity to learn, grow and shape how we work, while being part of a culture that values collaboration, inclusion, curiosity and getting things done- Demonstrated ability to operate as a trusted analytical partner to senior Commercial and Marketing stakeholders
- 6+ years’ experience in retail, loyalty, marketing effectiveness or commercial insights
- Experience owning high-value sectors, portfolios, or revenue-critical workstreams
- Proven track record of leading complex analytical initiatives that influence commercial strategy and revenue outcomes
- Experience integrating multiple data sources to form cohesive, commercially relevant insight
- Experience contributing to performance reviews, forecasting interpretation, or revenue optimisation discussions
- Advanced analytical thinking with the ability to connect customer behaviour, media performance and revenue drivers
- Strong commercial mindset with ability to prioritise analysis based on revenue impact
- Manages and develops Senior and Insight Analysts
- Strong SQL capability and confidence interrogating complex, large-scale datasets
- Applies and embeds agreed methodologies across the vertical
- Confident influencing and challenging stakeholders constructively using evidence
- Proven ability to translate insight into clear strategic recommendations
- Proactively identifies risks and growth opportunities
- Demonstrates ownership of vertical-level performance and accountability for revenue outcomes
- Comfortable applying statistical reasoning and structured experimentation principles
- Proficiency in BI and visualisation tools (e.g. Tableau, Power BI, Looker) to communicate complex findings clearly
- Operates with autonomy, judgement and commercial awareness
- Uses AI and analytical tools to strengthen commercial insight, identify growth opportunities and enhance decision-making across the vertical
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