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# Lead Data Analyst

- **Company:** aKube Inc
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** A/B Testing, Data Analysis, Big Data, Information Engineering, Data Warehousing, Decision Support Systems, Python (Programming Language), Tableau (Software), Sql Optimization, Information Technology, Data Analytics, Looker Analytics
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_7311ba73a819562964706cdde9a7d650

## About the Role

* 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

## Description

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.