Data QA Specialist

About Us :

YipitData is the market-leading data and analytics firm. We analyze billions of data points every day to provide accurate, detailed insights across industries, including consumer brands, technology, software, and healthcare.

Our insights team uses proprietary technology to identify, license, clean, and analyze the data that many of the worlds largest investment funds and corporations depend on. We raised $475M from The Carlyle Group at a valuation over $1B, further accelerating our growth and market impact.

We have been recognized multiple times as one of Incs Best Workplaces. As a fast-growing company backed by The Carlyle Group and Norwest Venture Partners, YipitData is driven by a people-first culture rooted in mastery, ownership, and transparency.

With offices in New York, Austin, Miami, Denver, Mountain View, Seattle, Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore, we continue to expand our reach and impact across global markets.

About the Role :

Our newest product offers insights on software companies and is growing rapidly. We are seeking a Financial Analyst (Internal Title : Data QA Specialist) to join our Data Product team in India to manage a large portion of the data cleaning and quality assurance processes for this new product. The Data QA Specialist will be responsible for manually reviewing large datasets of raw financial transaction spend data and helping us transform it into accurate business expense insights. You will verify and make corrections to financial transaction data based on U.S. accounting rules, and youll complete your work primarily using tabular data in our proprietary software. This cleaned data will then be used to build insights products in our fastest-growing initiatives. 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.

In general, we expect some overlap with U.S. work hours, and we require greater flexibility (i.e., more overlap) during the first few weeks of training and onboarding. More details on work-hour expectations will be shared during the recruiting process.

We expect hires to start in the position on March 10th, 2025.

As Our Data QA Specialist, You Will :

• Own manually reviewing and updating raw financial transaction spend data and invoices to help transform it into an accurate representation of business expense insights
• Verify and make corrections to financial transaction data following U.S. accounting rules, which will include manually adjusting data by :
• Thoroughly reviewing expense trends over time, across many vendors and different accounting record types
• Deduplicating overlapping transactions such as vendor bill and journal entries and selecting the correct record
• Adjusting amortization dates of expenses
• Inferring amortization dates of expenses, if they are not clear
• Verifying and tagging the correct vendor for each transaction
• Document repeated data issues and work with other Data and Engineering teams to improve our data quality assurance processes
• Primarily complete your work using Google Sheets and our proprietary software
• Collaborate closely with our U.S.-based Data Product team every day
• Have the opportunity to be promoted to manage a team of other Data QA Specialists

You Are Likely to Succeed If :

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 flexible vacation, 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.

The annual salary for this position is anticipated to be $10,000 - $15,000 (USD). The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, and abilities, as well as internal team benchmarks.

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.