Data Product Analyst, Corporate

YipitData is a research and analytics company that turns large volumes of alternative data into insights on fast-moving sectors. Its Corporate team works with retail clients to show how consumers buy from and engage with brands. This Data Product Analyst role supports the Retail group. The listing is remote, and the posting notes that the work can be done entirely from home within the US.

The analyst takes over as the lead owner of key data outputs for the Retail group. Responsibilities include designing and running quality assurance processes that keep sector products and client deliverables accurate, investigating and fixing complex data issues across pipelines and sources, improving category classification and product attribution, and explaining methodology and data limits to clients and internal colleagues. The role also works with Insights and Engineering to automate workflows and mentors peers.

Applicants should have four to six years in analytics, data operations or consulting, with four-plus years applying SQL, Python, PySpark or similar tools to big, intricate datasets. Working knowledge of GitHub and Databricks is expected, plus a track record of building estimates from sample or panel datasets that steer decisions. Candidates should pick up complex methods quickly, communicate clearly in writing and speech, manage several projects independently, and take real ownership of outcomes. Background supporting market intelligence or analytics for consumer clients is preferred.

The on-target earnings are anticipated to be up to $150,000 plus bonus eligibility, and the posting lists a base salary of $150,000 per year. Benefits include flexible hours and vacation, a 401(k) match, parental leave, a wellness budget, learning reimbursement and team events. The company cannot consider candidates who will require visa sponsorship now or in the future.