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← YipitData (Alternative)

Data QA Associate

YipitData (Alternative)
Location
India Remote
Posted
2 months ago
Department
APAC - Edison Engineering
What they actually want (must-haves)
  • Bachelor's degree or above in Accounting, Finance, Business, Statistics, Computer Science, or a related field
  • 0–2 years of hands-on accounting or bookkeeping experience, including relevant internship experience
  • 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 and the ability to distinguish the company’s accounting categories
  • Exceptional attention to detail, problem-solving, and critical thinking abilities
Nice to have
  • Basic data analysis skills and familiarity with Excel, SQL, or Python
  • Experience managing multiple processes in parallel
What the job really is

As a Data QA Associate at YipitData, you will manage data cleaning and quality assurance processes for the SpendHound platform, transforming raw financial data into accurate insights. Your responsibilities include reviewing transactions, validating expense categories, identifying data issues, and collaborating with engineering teams to enhance data quality. This fully remote role requires attention to detail and effective communication with a global team.

Benefits
  • Flexible work hours
  • Flexible vacation
  • Generous 401K match
  • Parental leave
  • Team events
  • Wellness budget
Things to weigh
  • No specific salary listed
  • Role requires some overlap with U.S. or Chinese work hours
  • Position may involve significant data cleaning and quality assurance, which could be seen as less innovative
Job score2.4/5
Benefits4/5
Freshness1/5
Career value3/5
Role clarity4/5
Pay transparency0/5

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