Senior Data Analyst (Hybrid)
About The Position
Senior Data Analyst (Hybrid) Overview: As a Senior Data Analyst at Weedmaps you will serve as an analytical thought partner with teams across the business, primarily Product and Marketing. You will help shape the product roadmap through exploratory analysis, hypothesis generation, and experimentation. Your strong proficiency in SQL, combined with a resourceful and scrappy nature, will allow you to transform large, messy data into tangible recommendations for the business. Your relentless curiosity will uncover new insights in our customer behavior leading to improved acquisition and retention strategies. Your scalable data products will allow insights to be shared across multiple departments, and your dashboards will help drive root cause problem solving. You combine strong technical skills with deep business acumen to deliver insights that power measurable impact on our most important metrics.
Requirements
- 4+ years of experience in product analytics, business intelligence, quantitative analyst,, or similar technical role
- Expert SQL skills and experience building performant queries on large (10B+ row) tables
- Experience with event-based analytics platforms (ex. Segment, Amplitude, or similar)
- Experience with modern data warehouse platforms, preferably Snowflake
- Experience with Looker or Sigma
- Intermediate python skills (sufficient to build Streamlit dashboards)
- Experience with A/B testing platforms (ex. Optimizely)
- Proven ability to convert analysis into clear, actionable business and product recommendations
- Hands-on experience using AI in your work to drive greater impact
Nice To Haves
- Experience with multiple business intelligence tools, preferably Sigma, and Looker
- Familiarity with dbt cloud and jinja
- Experience in a two-sided marketplace or e-commerce environment
- Regulated industry experience - nice to have
Responsibilities
- Design and implement dashboards and Streamplit apps (python) to provide clear insights into product and business performance
- Perform ad hoc deep dive analyses, communicate statistical and analytical results to non-technical audiences, and provide business recommendations
- Create scalable self-service tools that empower business teams to access insights independently
- Design, launch, and analyze A/B tests to identify opportunities for improving business performance
- Build dbt models to automate recurring reporting requests and generate reusable features/metrics
- Implement data quality checks and testing frameworks to ensure the accuracy and reliability of analytics
Benefits
- 2026 US Benefits for Full Time, Regular Employees:
- Physical Health (Medical, Dental & Vision)
- 100% employer-paid premium for employees
- Up to 80% coverage for dependents
- Up to $2,000 company HSA contribution with the High Deductible Health Plan
- 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution)
- Basic Life & AD&D - employer paid 1x salary up to $250,000
- Supplemental, voluntary benefits
- Student Loan Repayment/529 Education Savings with a monthly company contribution
- FSA (Medical, Dependent, Transit and Parking)
- Voluntary Life and AD&D Insurance
- Critical Illness Insurance
- Accident Insurance
- Short- and Long-term Disability Insurance
- Pet Insurance
- Identity theft protection
- Legal access to a network of attorneys
- PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown)
- Paid parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
501-1,000 employees
