We are looking for a Senior Data Analyst to shape pivotal, data-driven strategies that enhance member experiences and support business growth across our e-commerce subscription platform. You will leverage advanced analytics and statistical techniques to support personalization, acquisition, retention, and growth strategies. The ideal candidate will have a strong background in data analytics and experience working in an e-commerce environment.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
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Job Description
Job Summary:
We are looking for a Senior Data Analyst to shape pivotal, data-driven strategies that enhance member experiences and support business growth across our e-commerce subscription platform. You will leverage advanced analytics and statistical techniques to support personalization, acquisition, retention, and growth strategies.
​Key Responsibilities:
- ​Build and maintain dashboards, reports, and ad hoc analyses in Tableau and Snowflake to drive data-driven decisions.
- ​Lead hypothesis testing, A/B testing, regression analysis, and forecasting to inform product and marketing strategy.
- ​Develop SQL/Python automation and workflow tools (Airflow, dbt) to monitor data quality in real-time.
- ​Partner with Marketing, Product, Merchandising, and Engineering teams to align business needs with data initiatives.
- ​Translate complex data into compelling narratives for stakeholders at all levels.
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​Requirements:
- ​Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related quantitative field.
- ​4+ years of experience in data analytics, with 2+ years providing technical guidance to teams.
- ​Proven experience in an e-commerce environment, preferably with subscription-based models.
- ​Expertise in advanced analytics and statistical methods; proficiency in Tableau, Snowflake, SQL, Python, or R.
- ​Ability to communicate technical details and business strategies to mixed audiences.
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Bonus Qualifications:
- ​Experience with machine learning and experimental design.
- ​Deep knowledge of e-commerce KPIs and personalization.
​Employment Type: Full-time
- Location: Fully Remote (Must be available for PST working hours)
- This is not for someone from India.
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