About YipitData:
YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B.
We analyze billions of alternative 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.
For three years and counting, we have been recognized as one of Inc’s Best Workplaces. We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Denver, Mountain View, Seattle, Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency.
About The Role:
Our product offers insights on E-commerce companies and is growing rapidly. 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 the receipt data into accurate business expense insights. You will work with a top notch engineering team and data team from the U.S team and China team. 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 Specialists.
- 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 May 5, 2025
As our Data QA associate, you will:
- Perform accurate and efficient data extraction, labeling, and cleaning from English emails 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.
You Are Likely To Succeed If you have:
- Bachelor's degree or above. Majors in Computer Science, Statistics, Business Analytics, or a related field are preferred;
- 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
- 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 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.
