YipitData (Alternative)

YipitData (Alternative)

Data Product Analyst, Corporate

US Remote

Sponsorship not specifiedDetected 5 days ago
PythonGitSQLDatabricksData AnalysisData EngineeringValuationResearchMentoring

About the role

  • This is a fantastic opportunity for someone who thrives in ambiguity & rapid growth, enjoys helping clients get the most value from our data, able to communicate complex problems in simple terms to internal and external stakeholders.
  • As a Data Product Analyst at our Retail team, you will:
  • Ramp up quickly to become the primary owner of high-impact data deliverables, driving product success by delivering best-in-class outputs with a focus on accuracy, client value, and efficiency

Responsibilities

  • We move fast, support each other, and aim high-always with purpose and intention
  • Design, maintain, and run comprehensive QA processes to ensure data accuracy and reliability across assigned sector products & client deliverables
  • Collaborate cross-functionally with Insights and Engineering to align on best practices to deliver customer value, and develop technical solutions that streamline workflows, optimize data processes, and expand automation
  • YipitData's Corporate team collaborates directly with organizations like Ulta, 3M, and Scotts Miracle-Gro to build one of the most comprehensive views into how consumers in the U.S. are purchasing and engaging with brands.

Requirements

  • You have 4-6 years of experience in data analytics, data operations, or consulting
  • You have 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
  • You have experience using sample or panel data to make precise estimates that guide decision-making
  • You can clearly communicate complex concepts, both orally and in writing
  • You have a strong ownership mentality and are enthusiastic about making a big impact at a rapidly growing company
  • You enjoy mentoring peers and raising the quality bar through shared standards and best practices
  • This is an excellent opportunity for a professional with 4-6 years of experience who is eager to deepen their data analysis skill set, gain direct exposure to clients, and join a rapidly growing team at YipitData.

Nice to have

  • Experience supporting market intelligence or data analytics for consumer clients at a consulting or alternative data company, with a strong understanding of their business needs
  • Preferred: Experience supporting market intelligence or data analytics for consumer clients at a consulting or alternative data company, with a strong understanding of their business needs

Compensation

  • Our compensation package includes comprehensive benefits, perks, and a competitive salary:

Benefits

  • We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
  • The annual on-target earnings for this position is anticipated to be up to $150K + bonus eligible.
  • Our compensation package includes comprehensive benefits, perks, and a competitive salary:
  • Serve as a trusted resource for our clients and internal stakeholders by understanding client needs and aligning them with our data methodologies, limitations, and coverage

Company info

  • YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.
  • Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers-ranging from the world's top investment funds to Fortune 500 companies-depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.
  • We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture-recognized by Inc. as a Best Workplace for three consecutive years-emphasizes transparency, ownership, and continuous mastery.
  • What It's Like to Work at YipitData:
  • YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B.
  • Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.
  • Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers-ranging from the world's top investment funds to Fortune 500 companies-depend on to drive high-stakes decisions.
  • From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.
  • We operate globally with offices in the US, APAC, and India.
  • Our award-winning, people-centric culture-recognized by Inc. as a Best Workplace for three consecutive years-emphasizes transparency, ownership, and continuous mastery.
  • YipitData isn't a place for coasting-it's a launchpad for ambitious, impact-driven professionals.
  • From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.
  • Why Top Talent Chooses YipitData:
  • Ownership That Matters: You'll lead high-impact projects with real business outcomes

Visa & Work Authorization

  • Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.

This listing is sourced directly from YipitData (Alternative)'s careers page and normalized into a canonical job model.