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Data Product Analyst, Signals
YipitDataData Product Analyst needed to help build and enhance Signals data products at YipitData. Join a team focusing on leveraging data insights for private investment decision-making.
Posted 4/17/2026full-timeRemote • New York • 🇺🇸 United StatesMid-LevelSenior💰 $170,000 per yearWebsite
Tech Stack
Tools & technologiesPySparkPythonSQL
About the role
Key responsibilities & impact- Become a core owner of Signals data products
- Work closely with AI and Data Engineering teams to build and maintain AI-tagging systems
- Design, maintain, and run QA processes to validate data across thousands of vendors
- Investigate and resolve complex data quality issues independently
- Serve as a trusted resource for internal and external stakeholders by understanding client use cases and aligning them with data methodologies
- Conduct and deliver detailed analytical write-ups on specific vendors, sectors, or trends
- Collaborate cross-functionally to ship improvements fast
- Help translate customer feedback into actionable improvements
Requirements
What you’ll need- 4–6 years of experience in data analytics, data operations, consulting, or a related field
- 4+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets
- familiarity with GitHub and Databricks
- experience using sample or panel data to make precise estimates that guide decision-making
- attention to detail and a natural instinct for spotting data anomalies
- clear and concise communication skills—both in writing and verbally
- intellectual curiosity about technology markets, business trends, and data usage to influence decision-making
- self-direction is essential, taking ownership of problems and driving them to completion without constant oversight
Benefits
Comp & perks- flexible work hours
- flexible vacation
- generous 401K match
- parental leave
- team events
- wellness budget
- learning reimbursement
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analyticsdata operationsSQLPythonPysparkdata qualitydata methodologiesanalytical writingdata transformationdata estimation
Soft Skills
attention to detailcommunication skillsintellectual curiosityself-directionproblem-solvingcollaborationstakeholder managementindependenceadaptabilitycritical thinking