Lead Data Analyst

aKUBE

New York (NY)

Hybrid

USD 208,000 - 250,000

Full time

14 days+

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Job summary

A leading company seeks a Lead Data Analyst to support digital product and technology initiatives. The ideal candidate will drive user behavior analysis and experimentation, providing insights to enhance product strategies. This role requires strong analytical skills and experience in A/B testing, SQL, and data visualization tools like Tableau and Looker. Join a high-impact analytics team to lead projects and collaborate across functions.

Qualifications

7+ years of experience in data analytics or business intelligence.
Ability to present complex findings to stakeholders.

Responsibilities

Analyze user navigation and engagement patterns.
Design and interpret A/B tests for product features.
Build interactive dashboards using Tableau and Looker.

Skills

A/B testing

SQL

Python

Education

Bachelor’s degree in Analytics

Bachelor’s degree in Maths

Bachelor’s degree in Statistics

Bachelor’s degree in Computer Science

Tools

Tableau

Looker

LookML

Job description

Direct message the job poster from aKUBE

City: NYC 10013 or Santa Monica, CA 90404

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.

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

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.

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

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Contract

Job function

Job function
Analyst, Information Technology, and Other
Industries
Information Technology & Services, Broadcast Media Production and Distribution, and Technology, Information and Media

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