Data Tagging QA Specialist

Job description

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 aData 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:

• Define which transactions belong to a vendor for all downstream processes, client-facing feeds, and applications by:
  • Researching software vendors to identify all of their products, subsidiaries, and alternative names
  • Searching through raw financial transaction data and writing RegEx and Python code to capture all appropriate entries associated with a vendor
  • Running data quality assurance checks to review accuracy of coded logic
• Primarily complete your work usingSQL and Python within Databricks notebooks
• Collaborate closely with our U.S.-based Data Product team daily
• Collaborate and improve the process and tooling of identifying software vendors, tagging, cleaning the data, and using the data output to enrich a library of data-driven private company intelligence
• Potentially have the opportunity to be promoted to manage a team of other Data Tagging QA Specialists

Must have:

• Strong attention to detail
• 1-3+ years of experience as a data or quality assurance analyst
• Ability to collaborate with global team, with proven experience working with a US-based employer
• Strong English proficiency and knowledge of the English language (spoken, written)
• Ability to creatively understand the intention behind word misspellings and possible alternative spellings of vendor names
• Strong judgment
• Experience with Python, SQL, Regex- Must have skills
• Roles will grow further and hiring numbers will also grow.
  
  

Nice-to-have:

• Experience working with large datasets
• Understanding of finance or economics
• Basic accounting knowledge
• Experience working with Github

You Are Likely to Succeed If:

• You have 1-3+ years of experience as a data or quality assurance analyst
• You have at least 1 year of full-time work experience using Python, SQL, and Regex
• You have exceptional attention to detail
• You have experience working with and managing large datasets
• You have experience managing multiple processes in parallel
• You like to solve problems and puzzles
• You have excellent written and verbal communication skills, with the ability to interact effectively with vendors and internal teams across time zones and cultures

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.

Required Skill Profession

Computer Occupations