Data QA Associate

Reposted 2 Months Ago
Hiring Remotely in India
Remote
Entry level
Big Data • eCommerce
The Role
As a Data QA Associate, you'll manage data cleaning and quality assurance processes, transforming receipt data into business insights, collaborating with remote teams, and ensuring data consistency and quality.
Summary Generated by Built In

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:

SpendHound is a SaaS spend management platform that helps finance, operations, and procurement teams understand and manage their software and cloud spend. Our product collects and organizes vendor, invoice, contract, receipt, and transaction data from different sources, including ERP and accounting systems, customer emails, and AI-generated datasets.

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 raw financial and accounting data into accurate business expense insights. You will review transactions and accounting records, validate expense categories, identify bad cases, investigate the root causes of data issues, and help improve the rules and processes used to maintain data quality.

You will work with a top-notch engineering team and data team from the U.S. and China. 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 Associate.

  • 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

As our Data QA associate, you will: 

  • Review and validate accounting data exported from ERP systems, including vendor, invoice, bill, payment, and transaction records.
  • Apply accounting knowledge to understand different bookkeeping patterns and determine how transactions should be reflected in expense data.
  • Review and correct vendor and spend category mappings.
  • Identify and resolve duplicated, incomplete, or inconsistent records.
  • Investigate data quality issues and collaborate with data and engineering teams to improve data processing rules.
  • Ensure that the final data is accurate and reliable for business expense analysis.
  • Ensure compliance with company data security and confidentiality policies.

You Are Likely To Succeed If you have: 

  • Bachelor's degree or above. Majors in Accounting, Finance, Business, Statistics, Computer Science, or a related field are preferred.
  • 0–2 years of hands-on accounting or bookkeeping experience, including relevant internship experience. Or 0 - 2 years of experience as a data or quality assurance analyst in finance data.
  • Experience with accounting processes such as transaction categorization, invoice processing, expense review, account reconciliation, accounts payable, accounts receivable, or general ledger entries.
  • Hands-on experience using at least one mainstream ERP, accounting, or expense management system, such as SAP, Oracle, NetSuite, QuickBooks Online (QBO), Ramp, Xero, or a similar system.
  • Familiarity with accounting standards, the ability to distinguish the company’s accounting categories, and an understanding of company accounting records.
  • Experience managing multiple processes in parallel.
  • Basic data analysis skills and familiarity with Excel, SQL, or Python are a plus.
  • Exceptional attention to detail, problem-solving, and critical thinking abilities.
  • Ability to work independently while coordinating with a remote team.
  • Excellent written and verbal communication skills in English, with the ability to interact effectively with clients, 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.

Skills Required

  • Bachelor's degree or above, preferably in Computer Science, Statistics, Business Analytics, or related field
  • 0 - 2 years of experience as a data or quality assurance analyst
  • Experience in data tagging, cleaning or Regex
  • Exceptional attention to detail, problem-solving and critical thinking abilities
  • Excellent written and verbal communication skills in English

YipitData Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about YipitData and has not been reviewed or approved by YipitData.

  • Healthcare Strength — Multiple medical plan options include an employee-premium–free choice, alongside dental and vision coverage. This combination signals robust core health benefits.
  • Parental & Family Support — Generous paid parental leave is emphasized, paired with flexible vacation and location flexibility that supports families. These policies offer meaningful time and flexibility for parents.
  • Strong & Reliable Incentives — Sales commission structure and accelerators are considered favorable when quota is reached, enabling top performers to earn well above OTE. Incentive design is viewed positively in segments where targets are met.

YipitData Insights

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The Company
HQ: New York, NY
470 Employees
Year Founded: 2013

What We Do

YipitData is the leading market research firm for the disruptive economy. We analyze billions of data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments and more. Our on-demand insights team uses proprietary technology to identify, license, clean and analyze the data many of the world’s largest investment funds and corporations depend on. YipitData is hiring. Come join the future of data-driven market research: yipitdata.com/careers

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