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Qualifications

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

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.

As our Data QA associate, you will: 

• 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.