Data Tagging 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.

YipitData | Data Tagging QA Specialist

Job Overview :

Location : India (Remote)

Band / Level : Prod-1

Job Description :

Data Tagging QA Specialist (India)

About The Role :

Our newest product that offers insights on software companies is growing rapidly, and we are seeking a Data Tagging QA Specialist to join our Data Product team in India to manage a large portion of the upstream data cleaning and quality assurance processes. Using Databricks and our proprietary tooling, you will be responsible for implementing regular expressions (RegEx) and Python logic in order to capture all transactions associated with a software vendor. This tagged data will then be cleaned and 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 Tagging 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 overlap during the first few weeks of training and onboarding.

• During training and onboarding, we anticipate your work hours to be 2pm-11pm IST, to allow for sufficient overlap.
• We anticipate your standard work hours to be 11am-8pm IST.
• Once new hires are fully ramped, we may offer greater flexibility in your schedule.

As Our Data Tagging Specialist, You Will :

Researching software vendors to identify all of their products, subsidiaries, and alternative names

Must have :

Nice-to-have :

You Are Likely to Succeed If :

What We Offer :

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

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.