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YipitData

Data Product Analyst, Corporate

YipitData
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remote mid full-time up to $150K + bonus eligible US Remote

First indexed 24 Oct 2026

Description

YipitData is seeking a Data Product Analyst to join their Corporate team. The successful candidate will work with clients such as Ulta, 3M, and Scotts Miracle-Gro to build comprehensive views into consumer purchasing and engagement with brands.

As a Data Product Analyst, you will independently manage data quality end-to-end, resolve complex issues across data pipelines and sources, improve category classification and product attribution, collaborate with cross-functional partners, and help clients understand the methodology and data limitations.

Key responsibilities include:

  • Ramping up quickly to become the primary owner of high-impact data deliverables
  • Designing, maintaining, and running comprehensive QA processes to ensure data accuracy and reliability
  • Serving as a trusted resource for clients and internal stakeholders
  • Investigating and resolving complex data quality issues
  • Collaborating cross-functionally with Insights and Engineering to align on best practices
  • Proactively identifying opportunities to improve efficiency, robustness, and data quality

Requirements include:

  • 4-6 years of experience in data analytics, data operations, or consulting
  • 4+ years of experience working with SQL, Python, Pyspark, or other programming languages
  • Experience using sample or panel data to make precise estimates
  • Proven track record of quickly learning new concepts
  • Strong communication skills
  • Ownership mentality and enthusiasm for making a big impact

What YipitData offers:

  • Competitive salary with an anticipated on-target earnings of up to $150K + bonus eligible
  • Comprehensive benefits and perks, including flexible work hours, flexible vacation, 401K match, parental leave, team events, wellness budget, and learning reimbursement
  • Opportunity for growth and development in a rapidly growing company
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://job-boards.greenhouse.io/yipitdata/jobs/7998077