Senior Data Analyst

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