Lead Data Analyst

Position Summary:

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.

Key Responsibilities:

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.

Qualifications:

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

Benefits:

🌐 Onsite/ Hybrid/ Remote: Hybrid (4 days a week Onsite)
💵 Rate Range: Up to $100 hourly on W2 depending on experience (no C2C or 1099 or sub-contract)

Preferred Qualifications:

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

Responsibilities:

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