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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading and mentoring analytics teams while driving strategic initiatives in product analytics, data governance, and advanced analytics methodologies. Proficient in communicating complex data insights to diverse stakeholders and fostering a culture of data-driven decision-making.
Highest-signal resume keywords
Leadership SkillsData ModellingProduct AnalyticsChange ManagementCommunication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ExperimentationAttributionForecastingPredictive AnalyticsObservabilityAdvanced AnalyticsData MethodologiesMetrics TrackingData GovernanceAI-Enhanced Analytics
Soft Skills
Team ManagementStrategic ThinkingDetailed Analysis
Tools & Technologies
Analytics ToolsData Platforms
Industry Keywords
E-CommerceMarketplaceTechnology
About the role
Key responsibilities & impact- Lead, mentor and manage a high-performing, diverse analytics team
- Set the mission, technical direction and culture of the analytics function
- Provide technical direction on product analytics, experimentation, attribution, forecasting, predictive analytics and observability
- Identify opportunities for advanced analytics and data methodologies and enable implementation
- Identify and track metrics measuring success across all areas of the business
- Ensure trustworthy and timely data for stakeholders across departments
- Collaborate with senior leadership on key initiatives and strategic objectives
- Align customer impact with commercial outcomes alongside FP&A and product leads
- Partner with the Director of Data Platform on the company data vision and strategy
- Support high data quality, robust data governance and analytics roadmaps
- Drive product development data opportunities
- Promote understanding of key metrics and evangelise insights and trends across stakeholders
- Increase stakeholder self-service use of analytics tools and enable analysts to provide deeper insights
- Evaluate, deploy and drive adoption of AI-enhanced analytics tools
- Report to the Chief Commercial Officer and collaborate with Data Platform, Product, Engineering, Partnerships, Finance and Marketing directors
Requirements
What you’ll need- Proven experience in a senior or head of analytics role within e-commerce, marketplace or technology sectors
- Strong leadership skills with a track record of managing large, multi-disciplinary teams
- Expertise in data modelling, experimentation, attribution, forecasting and observability
- Experience leading product analytics and improving product experience based on analysis and insights
- Experience introducing and driving adoption of agentic analytics in an organisation
- Excellent communication skills to articulate complex data insights to non-technical stakeholders
- Experience driving change through analytics and data initiatives
- Strong high-level strategic thinking and detailed analysis skills
Benefits
Comp & perks- Hybrid working: office attendance on Tuesdays and Thursdays, with remote or office work available on other days
- 29 holidays per year in addition to 8 statutory bank holidays
- Enhanced Family Leave for eligible employees
- Paid Time off for Dependents
- Support for Fertility Treatment & Loss
- Annual clothing allowance on Lyst, starting at £250 and increasing up to £1,000 with length of service
- Comprehensive private healthcare scheme through Vitality from the start date
- £1,000 annual training allowance for conferences, industry events, training courses and resources
- Pension scheme with minimum 5% employee contribution and 3% employer contribution
- Free annual eye test and discount towards glasses
- Cycle-to-Work Scheme
- Interest-free transport season ticket loan
- Frequent company-wide and team social events
- Flexible working arrangements discussed
- Inclusive workplace and equal opportunity commitment
