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

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

flexible work hours
flexible vacation
generous 401K match
parental leave
team events
wellness budget
learning reimbursement

Applicant 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