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