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YipitData
YipitData
201 – 500 Employees
Data AnalyticsEnterpriseFinance
YipitData is a data and research company serving investors, businesses, and data partners with alternative datasets and market intelligence. Its analysts process billions of data points each day across receipt, card, web, and publicly reported earnings data to provide timely views of consumer behavior, market trends, product categories, and company performance. The company’s research helps clients evaluate markets, track competitors, understand demand, and make informed decisions about growth and investment.
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Senior Data Analyst — YipitData, United States Remote

Lead data strategy, quality, taxonomies, and workflows for YipitData’s consumer market research and analytics platform. Mentor analysts and expand coverage across new sectors in the United States.

USUnited States
$170,000 – $190,000 / year
RemoteFull-timeSeniorEnglish RequiredData Analyst
PySparkPythonSQL

Description

  • Lead data strategy and execution for client deliverables across emerging sectors
  • Improve product performance through data accuracy, client value, and operational efficiency
  • Work with product and revenue leaders to establish and deliver ambitious goals
  • Act as the subject-matter expert for data covering emerging sectors
  • Support GTM teams in client discussions by explaining methodologies, resolving questions, and aligning solutions with client needs
  • Identify data quality problems, resolve them, and deliver scalable improvements
  • Build, standardize, and maintain workflows that support expanding coverage
  • Manage and refine sector classification systems, including core taxonomies and client-specific categorizations
  • Lead as a player-coach by establishing standards for quality, speed, and innovation while developing the team
  • Collaborate with Data, Insights, Revenue, and Engineering to support ARR growth and improve processes and pipelines
  • Report to the Head of Data

Requirements

  • At least 8 years of experience in data analytics, data operations, or consulting
  • At least 2 years of experience in a lead or management role
  • At least 4 years of experience using SQL, Python, PySpark, or another programming language to explore and transform large, complex datasets
  • Working familiarity with GitHub and Databricks
  • Demonstrated experience handling large, untidy, evolving datasets, particularly where definitions or taxonomies change
  • Experience developing and maintaining production-grade data workflows
  • A strong sense of ownership
  • Excellent communication skills
  • Ability to collaborate and manage projects with technical and non-technical stakeholders
  • Must not require visa sponsorship now or in the future
  • Authorized to work in the United States

Benefits

  • Flexible working hours
  • Flexible vacation policy
  • Generous 401(k) match
  • Parental leave
  • Team events
  • Wellness budget
  • Learning reimbursement
  • Equity
  • Fully remote work within the United States

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