Data QA Associate

Yipit Data 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, ride sharing, 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 (NYC, Austin, Miami, Mountain View) APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), 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.

Yipit Data 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.

• Ownership That Matters
  :
  You’ll lead high-impact projects with real business outcomes
• Rapid Growth
  :
  We compress years of learning into months
• Merit Over Titles
  :
  Trust and responsibility are earned through execution, not tenure
• Velocity with Purpose
  :
  We move fast, support each other, and aim high—always with purpose and intention

We hire sprinters, not coasters—people who:

• Choose growth over comfort
• Lead through challenges
• Are energized by high expectations

It’s not for everyone, and that’s intentional. If your ambition is matched by your work ethic—and you’re hungry for a place where growth, impact, and ownership are the norm—Yipit Data might be the opportunity you’ve been waiting for.

Our product offers insights on E-commerce companies and is growing rapidly. We are seeking a Data QA Associate to join our team in India to manage a large portion of the data cleaning and quality assurance processes for this product. As a Data QA Associate, you will be responsible for transforming the receipt data into accurate business expense insights. You will work with a top notch engineering team and data team from the U.S

team and China team. You’ll complete your work primarily using data in our proprietary software. This position offers the opportunity to meaningfully contribute to the growth of our company. Exceptional employees may have the opportunity to be promoted and manage a team of other Data QA Specialists.

• This is a fully remote role based in India.
• Working hours:
  
  8 am – 5 pm IST
• In general, we expect some overlap with Chinese or U.S. work hours. More details on work-hour expectations will be shared during the recruiting process.
• We expect hires to start in the position as soon as possible, and no later than June, 2025

• Perform accurate and efficient data extraction, labeling, and cleaning from email panel or AI-generated dataset to ensure high-quality data.
• Monitor and analyze data trends for various merchants and vendors, including email categorization and trend identification.
• Maintain the stability of merchant and vendor data, investigating anomalies such as sudden drops or spikes in data volume.
• Collaborate with teams in both China and the U.S. to ensure data consistency and quality.
• Provide timely responses to analysts and clients’ demands and inquiries.
• Ensure compliance with company data security and confidentiality policies.

• Bachelor’s degree or above. Majors in Computer Science, Statistics, Business Analytics, or a related field are preferred;
• 0 – 2 years of experience as a data or quality assurance analyst;
• Experience in data tagging, cleaning or Regex
• Experience managing multiple processes in parallel
• Basic data analysis…