We're looking for a hands-on and product-minded Senior Data Analyst who's ready to take ownership of analytics from the ground up. You'll play a key role in shaping data culture, driving product improvements, and building scalable analytics infrastructure in a fast-paced environment.
Right now we have 4 open positions for Data Analysts to join product, marketing, and commerce analytics teams depending on your professional interests and experience.
Responsibilities:
- Build and lead analytics function, including processes, tools, and data pipelines.
- Proactively identify growth opportunities and generate data-driven hypotheses to improve business and product metrics.
- Analyze product changes and evaluate the impact of product initiatives.
- Help the team approach problems structurally and make decisions based on data.
- Contribute to the development and maintenance of the data model.
- Create dashboards and alerting systems to monitor key metrics and detect anomalies.
- Develop internal analytics tools and set up core analytical processes, such as A/B testing and data logging.
- Promote a culture of experimentation and hypothesis validation across the company.
Requirements:
- 4+ years of experience as a data analyst.
- Strong SQL skills and a deep understanding of working with data.
- Solid Python skills, including beyond basic analytics libraries.
- Experience with at least one popular BI tool (e.g., Tableau, Power BI, Superset).
- Hands-on experience designing and analyzing A/B tests.
- Strong knowledge of statistics and experimental design.
- A passion for organizing, structuring, and bringing clarity to complex systems.
- Familiarity with ETL principles is a plus.
- Experience with GitLab and Airflow is a bonus.
Challenges You'll Face:
- The data infrastructure is still evolving youll have a big say in how it grows.
- Multiple business stakeholders and a wide range of incoming requests.
- Your work will have a direct and visible impact on valuable product outcomes.
What We Offer:
- Full ownership of the analytics function within your product area.
- Remote-friendly setup with flexible hours.
- 28 calendar days of paid vacation.
- 12 bonus days.
- 100% paid sick leave.
- Compensation of professional development.
If you're excited about solving business problems with data, love building things from scratch, and want to make a real difference wed love to hear from you.
Apply now and help us build a data-driven future!
Originally posted on Himalayas
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