Data QA Associate | 0-2 years | YipitData

Updated

04/03/2026

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4 min

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Categories: Quality Assurance, E-Commerce, Finance / Tax & Accounting, Full Time, Remote Work

YipitData Off Campus Drive 2026

YipitData Recruitment | Data QA Associate | 0-2 yrs | Remote Work

YipitData is seeking a Data QA Associate to ensure data accuracy and integrity. Responsibilities include verifying data sources, identifying discrepancies, and maintaining quality standards. The ideal candidate has strong analytical skills, attention to detail, and proficiency in Excel. Join our team to support data-driven decision-making and contribute to our commitment to excellence. Apply now!

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Data QA Associate (0-2 years)

YipitData is hiring for the post of Data QA Associate. Interested and eligible candidates can read more details below.

Company Name : YipitData

Job Location : Remote work, India

Job Title : Data QA Associate

Education : Graduate

Experience : 0-2 years

YipitData Recruitment 2026

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 June, 2025

As our Data QA associate, you will:

• Perform accurate and efficient data extraction, labelling, and cleaning from the 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.

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

‹‹‹ more details ›››

How to Apply :

All interested and eligible candidates can apply in online mode for Data QA Associate position.

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Data QA Specialist Salary : The salary for this role is upto ₹8.00 LPA; exact details during interview *💵💵

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About YipitData

YipitData offers cutting-edge data solutions for businesses worldwide. Specializing in web-scraped information, they provide real-time insights and analytics to drive informed decision-making. With a focus on financial services, e-commerce, and more, YipitData delivers accurate and reliable data sets tailored to clients’ specific needs. Harnessing the power of data, they empower companies to stay ahead in today’s competitive landscape.