Role Overview
As a Senior Data Analyst on the Data Feeds team, you will own commercial data products, improve product quality through systems, shape the evolution of the product, evaluate new data and methodologies, turn customer feedback into better products, and use AI to redesign analytical workflows.
What You Will Do
Design a new aggregation methodology, evaluate a new third-party dataset, build automated QA monitors, partner with Data Science, create an AI-powered workflow, launch a new forecasting capability, and expand how clients use our products.
Why It Might Be a Fit
You have 4+ years of experience in data analytics, advanced SQL skills, experience using Python or PySpark, and enjoy building products, reasoning through ambiguity, and working with messy datasets.
Requirements
- 4+ years of experience in data analytics
- Advanced SQL skills
- Experience using Python or PySpark
- Ability to build reliable, reusable analytical workflows
- Strong mental models for complex datasets
- Ability to lead complex cross-functional projects
- Ability to balance rigor with pragmatism
- Ability to communicate technical concepts clearly
Benefits
- Comprehensive benefits
- Flexible work hours
- Flexible vacation
- Generous 401K match
- Parental leave
- Team events
- Wellness budget
- Learning reimbursement
To apply for this job please visit job-boards.greenhouse.io.

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