Lead Data Analyst

We are looking for an experienced and strategic Lead Data Analyst to join a high-impact analytics team supporting digital product and technology initiatives. The ideal candidate is a hands-on data expert with a deep understanding of experimentation, user behavior analysis, and stakeholder engagement., * User Behavior Insights: Analyze user navigation, engagement patterns, and cohort data to uncover meaningful trends and opportunities for product optimization.

• Experimentation Leadership: Independently design, execute, and interpret A/B tests to assess product features, engagement strategies, and experience improvements.
• Strategic Decision Support: Present actionable insights that balance business objectives with user satisfaction to guide product and technical teams.
• Cross-Functional Collaboration: Act as a key analytics partner across Product, Technology, Data Engineering, and Data Product teams.
• End-to-End Project Ownership: Manage analytics initiatives from scoping and hypothesis development to final insight delivery.
• Dashboard Development: Build interactive dashboards and reports using Tableau, Looker, and LookML to monitor KPIs, track experiments, and guide ongoing strategy.

• 7+ years of experience in data analytics, business intelligence, or a related discipline
• Strong command of A/B testing methodologies and statistical interpretation
• Advanced SQL skills for querying and transforming large datasets
• Expertise in Tableau, Looker, and LookML
• Proficiency with Python or R for statistical analysis and experimentation
• Ability to present complex findings in a clear, compelling manner to stakeholders at all levels
• Demonstrated capability to lead complex analytics projects independently
• Familiarity with modern data warehousing concepts and platforms, * Advanced degree in Analytics, Statistics, Mathematics, Computer Science, or related field
• Experience working in digital product, media, or streaming environments
• Strong ability to flag and escalate data quality or insight challenges to leadership
• Highly motivated, curious, and eager to learn in a data-centric environment

Education:

• Bachelor’s degree in Analytics, Maths, Statistics, Computer Science, or a related field required