Lead Data Analyst- 1450

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