What You'll Do
Lead the design and interpretation of A/B tests and statistical experiments, selecting appropriate methodologies to increase sensitivity and ensure valid results. Translate product hypotheses into measurable outcomes and guide teams toward data-backed decisions.
Use Python extensively for data extraction, transformation, and modeling tasks—including regression, clustering, and user segmentation. Integrate with APIs and prepare features to support predictive analytics and deeper behavioral insights.
Write and optimize complex SQL queries using window functions and CTEs, and contribute to the development of analytical data marts. Improve query performance and ensure scalable access to critical metrics across teams.
Monitor and refine core product and marketing KPIs such as lifetime value, cost per acquisition, retention curves, conversion funnels, and user engagement. Identify root causes behind metric shifts and propose targeted improvements.
Develop interactive dashboards in BI tools like Superset, Tableau, or PowerBI to make data accessible and actionable. Turn complex findings into clear visual narratives that inform strategy and execution.
Requirements
- Deep understanding of statistical theory, hypothesis testing, and experimental design
- Proven ability to manipulate and analyze large datasets using Python and apply machine learning techniques to real-world problems
- Advanced SQL skills with experience in query optimization and data warehouse architecture
- Strong background in product and marketing analytics, including unit economics and cohort-based measurement
- Skill in translating technical results into business insights with clear, structured storytelling
- Ability to independently identify opportunities, formulate hypotheses, and drive projects from start to finish
- Strong critical thinking—questioning data quality, assumptions, and conclusions through validation
- Comfort presenting and defending analytical findings to stakeholders across functions
- Experience turning raw data into dashboards and reports that guide decision-making
Benefits
- Fully remote role with team members across the world
- 28 days of vacation and 7 wellness days annually
- Referral bonuses up to $5,000 for successful hires
- 50% reimbursement for professional development, conferences, and training
- Corporate-supported English lessons
- Annual health compensation of up to $1,000 gross for insurance or medical expenses
- Workplace setup reimbursement of up to $1,000 gross every three years
- Company-provided workspace in co-working locations or support for home office
- Peer recognition program with redeemable rewards for experiences, merchandise, and wellness
