Data QA Lead

About Us:

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 (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.

What It’s Like to Work at YipitData:

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
• 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

Who Thrives Here?

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—YipitData might be the opportunity you’ve been waiting for.

About The Role:

Our product offers insights on E-commerce companies and is growing rapidly. We are seeking a Senior Data QA Lead to join our team in India to oversee data cleaning and quality assurance processes while managing and mentoring a team of Data QA Associates.

As a Data QA Lead, you will be responsible for ensuring that receipt data is transformed into accurate and actionable business expense insights. You will work closely with a top-notch engineering and data team from the U.S, India and China, taking ownership of workflows, team performance, and data quality outcomes.

This is a high-impact role that combines hands-on expertise with leadership responsibility. Exceptional performance in this role can open further opportunities for strategic leadership within the company.

• This is a fully remote role based in India.
• Working hours: 8 am – 5 pm IST
• Some overlap with Chinese or U.S. work hours is expected. More details will be shared during the recruiting process.

We expect hires to start in the position as soon as possible, and no later than December 29, 2025.

As our Data QA Lead, you will:

• Lead & Mentor: Inspire, coach, and empower a team of Data QA Associates by setting clear goals, guiding their growth, and fostering accountability to achieve exceptional results.
• Quality Leadership: Champion the design, oversight, and continuous enhancement of data quality assurance processes to deliver accuracy, consistency, and reliability at scale.
• Workflow Ownership: Drive best practices in data cleaning, creating efficient, scalable workflows while maintaining the highest quality standards.
• Cross-team Collaboration: Serve as a trusted bridge between India, China, and U.S. teams, cultivating strong partnerships and ensuring shared alignment on quality goals.
• Continuous Improvement: Inspire innovation by developing new QA methodologies, introducing automation where valuable, and refining existing processes to support growth.
• Client Partnership: Build confidence with analysts and clients by providing timely, thoughtful, and impactful responses to inquiries and insights.

You Are Likely To Succeed If you have: 

• Bachelor’s degree or above.
• Majors in Computer Science, Statistics, Business Analytics, or related fields preferred.
• Experience: 3-5 years of experience in data quality assurance, analytics, or IT related fields 
• At least 1-2 years of people management experience.
• Excellent written and verbal communication skills in English.
• Proven experience with data tagging, data analytics, quality assurance or IT related working experience.
• Familiarity with Excel, SQL, or Python for data analysis and process automation.
• Experience managing multiple processes in parallel under tight deadlines.
• Strong team management, coaching, and performance evaluation skills.
• Ability to set priorities, delegate effectively, and build accountability within the team.
• Exceptional attention to detail, problem-solving, and critical thinking abilities.
• Ability to coordinate effectively across time zones and cultures.
• Mindset: A proactive, improvement-driven leader who thrives in a fast-scaling environment.

What We Offer:

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

• We care about your personal life and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more!
• Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer.

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