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Salary: USD 170,000 - 190,000 / annual
YipitData is a market research and analytics firm specializing in alternative data for the disruptive economy. The company recently raised $475M from The Carlyle Group at a $1B+ valuation and serves top investment funds and Fortune 500 companies with proprietary technology that analyzes billions of data points across sectors including software, AI, cloud, e-commerce, ridesharing, and payments.
The Corporate team works directly with major brands like Summer Fridays, 3M, and Uber to build comprehensive views of consumer purchasing and engagement. As demand expands into new sectors, YipitData is expanding its Data team and seeking a Senior Data Analyst to lead coverage in emerging verticals.
In this role, you will serve as a player-coach, balancing hands-on analytical ownership with responsibility for setting standards, improving workflows, and coaching junior analysts. You'll report to the Head of Data and operate at the intersection of data strategy and execution.
Key responsibilities include:
- Own data strategy and execution for a portfolio of client deliverables within new sectors, driving product success through accuracy, client value, and efficiency
- Serve as subject-matter expert for emerging sector data, partnering with go-to-market teams on client conversations to explain methodologies and ensure alignment
- Investigate and resolve data quality issues, proactively troubleshooting concerns and implementing scalable fixes
- Design, standardize, and maintain scalable workflows to ensure consistency as coverage expands
- Own and evolve sector categorization frameworks, including maintaining taxonomies and building custom categorizations
- Mentor and empower team members while setting high bars for quality, speed, and innovation
- Partner cross-functionally with Data, Insights, Revenue, and Engineering teams to drive ARR growth and optimize processes
This is a fantastic opportunity for someone who thrives in ambiguity and rapid growth, enjoys building systems from the ground up, and wants to shape how new sectors are operationalized at scale.
REQUIREMENTS:
- 8+ years of experience in data analytics, data operations, or consulting, including 2+ years in a lead or management capacity
- 4+ years of experience with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets
- Familiarity with GitHub and Databricks preferred
- Strong experience working with large, messy, evolving datasets, especially in environments with changing definitions or taxonomies
- Comfortable with SQL and Python (or similar tools) and experience building and maintaining production-grade data workflows
- Strong ownership mindset and ability to build structure in fast-moving environments
- Strong communication skills and ability to project manage effectively with both technical and non-technical stakeholders
- Must be authorized to work in the US; visa sponsorship not available
