YipitData is on the lookout for a sharp and detail-oriented Data QA Associate to join its growing E-commerce insights team in India. This role involves transforming data into accurate, high-quality business intelligence and collaborating across time zones with global data teams.
🚀 Role Overview
- Position: Data QA Associate
- Experience Required: 0–2 years
- Employment Type: Full-time
- Function: Data Quality / Data Operations
- Industry: Data Analytics / Market Research
- Location: Remote – India
📊 Key Responsibilities
- Extract, clean, and label data from email panel and AI-generated datasets
- Ensure quality assurance and trend monitoring across merchants and vendors
- Analyze data anomalies and resolve inconsistencies in merchant/vendor trends
- Work with global teams (China & US) to maintain data integrity
- Respond to analyst/client queries and maintain data security compliance
💼 What You Need
- Bachelor’s degree (preferred: CS, Statistics, Business Analytics)
- 0–2 years in data QA, data cleaning, or tagging
- Experience with Regex or dataset labeling tools
- Bonus: Exposure to Excel, SQL, Python
- High attention to detail and critical thinking
- Ability to coordinate remotely with global teams
- Fluent written and verbal English communication
🏢 About YipitData
Backed by The Carlyle Group with a valuation over $1B, YipitData is the leading market research and analytics firm for the disruptive economy. We work with alternative data sources to deliver actionable insights to top investment funds and corporations. Our team spans NYC, Austin, Singapore, China, and now India — and we’ve been named one of Inc’s Best Workplaces 3 years in a row.
🎁 What You’ll Get
- Fully remote, flexible role
- Work hours: 8AM – 5PM IST (with overlap across US or China as needed)
- Global collaboration opportunities
- Growth-driven culture focused on mastery, ownership, and transparency
- Benefits: Vacation time, learning reimbursement, parental leave, and more
🔗 Apply Now:
Apply link: https://www.linkedin.com/jobs/view/4150192540
Job Category: Data Analyst
Job Type: Full Time
Job Location: Remote
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