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Data QA Specialist

YipitData

IndiaremotePosted 1 month ago
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Skill Required

Data-QAQuality-AssuranceData-AnalystData-QualityQuality-ControlData-Quality-AnalystData-QA-EngineerData-QA-DeveloperData-Quality-Control-SpecialistData-Quality-SpecialistData-QA-EngineeringData-Testing-SpecialistQuality-Data-AnalystData EngineerQA EngineerBusiness Analysisrelated fieldEngineeringStatisticsanalyticssecuritywrittenPythonCloudRustSQLandAIFulltime

Key highlights

  • Experience: 0 - 2 years
  • Location: Fully Remote (India)
  • Working Hours: 8 am - 5 pm IST
  • Start Date: No later than June 2025
  • Key Benefit: Generous 401K match
  • Requirement: Experience in data tagging, cleaning or Regex

Role overview

YipitData is seeking a Data QA Associate to join the team in India to manage data cleaning and quality assurance processes for a rapidly growing E-commerce insights product. The role involves transforming receipt data into accurate business expense insights using proprietary software while collaborating with global engineering and data teams in the U.S. and China.

Responsibilities

  • Perform accurate and efficient data extraction, labeling, and cleaning from email panel or AI-generated dataset to ensure high-quality data.
  • Monitor and analyze data trends for various merchants and vendors, including email categorization and trend identification.
  • Maintain the stability of merchant and vendor data, investigating anomalies such as sudden drops or spikes in data volume.
  • Collaborate with teams in both China and the U.S. to ensure data consistency and quality.
  • Provide timely responses to analysts and clients' demands and inquiries.
  • Ensure compliance with company data security and confidentiality policies.
  • Manage a large portion of the data cleaning and quality assurance processes for the E-commerce product.
  • Complete work primarily using data in proprietary software.
  • Lead high-impact projects with real business outcomes.

Requirements

  • Bachelor's degree or above.
  • 0 - 2 years of experience as a data or quality assurance analyst.
  • Experience in data tagging, cleaning or Regex.
  • Experience managing multiple processes in parallel.
  • Familiar with accounting standards, able to distinguish the company's accounting categories, and understand the company's accounting records, preferably with experience using mainstream ERP systems such as NetSuite, Ramp, or QBO.
  • 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 vendors and internal teams across time zones and cultures.

Nice to have

  • Majors in Computer Science, Statistics, Business Analytics, or a related field are preferred.
  • Basic data analysis skills and familiarity with Excel, SQL, or Python are a plus.

Benefits

  • Flexible work hours.
  • Flexible vacation.
  • Generous 401K match.
  • Parental leave.
  • Team events.
  • Wellness budget.
  • Learning reimbursement.
  • Growth determined by impact, not tenure, unnecessary facetime, or office politics.
  • Environment focused on ownership, respect, and trust.
  • Opportunity to be promoted and manage a team of other Data QA Specialists for exceptional employees.
  • Compression of years of learning into months.

Additional details

  • YipitData raised $475M from The Carlyle Group at a valuation of over $1B.
  • Proprietary technology analyzes billions of alternative data points across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.
  • Customers range from the world’s top investment funds to Fortune 500 companies.
  • Global offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India.
  • Recognized by Inc. as a Best Workplace for three consecutive years.
  • Merit over titles culture: trust and responsibility are earned through execution, not tenure.
  • Fully remote role based in India.
  • Working hours: 8 am - 5 pm IST.
  • Expect some overlap with Chinese or U.S. work hours.
  • More details on work-hour expectations will be shared during the recruiting process.
  • Expected start date: as soon as possible, and no later than June, 2025.
  • The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.
  • Job Applicant Privacy Notice.
  • Originally posted on Himalayas.
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