aKube, Inc.
Job Description
City : NYC or Santa Monica, CA
Onsite/ Hybrid/ Remote:
Hybrid (4 days a week Onsite)
Duration : 6 months
Rate Range:
Up to$100/hr on W2 depending on experience (no C2C or 1099 or sub-contract)
Work Authorization : GC, USC, All valid EADs except H1b
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. Must-Have 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 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 Education: Bachelor's degree in Analytics, Maths, Statistics, Computer Science, or a related field required Master's degree preferred
Onsite/ Hybrid/ Remote:
Hybrid (4 days a week Onsite)
Duration : 6 months
Rate Range:
Up to$100/hr on W2 depending on experience (no C2C or 1099 or sub-contract)
Work Authorization : GC, USC, All valid EADs except H1b
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. Must-Have 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 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 Education: Bachelor's degree in Analytics, Maths, Statistics, Computer Science, or a related field required Master's degree preferred