Quality Assurance Data Analyst

3 days ago

Pune, Maharashtra, India beBeeDataQA Full time US$ 10,000 - US$ 15,000
Job Title: Data QA Specialist

Are you a detail-oriented individual with a passion for data analysis? We are seeking a skilled Data QA Specialist to join our team and play a critical role in ensuring the accuracy and quality of our data.

This is an exciting opportunity for someone who enjoys working with large datasets, identifying patterns and discrepancies, and collaborating with cross-functional teams to drive business growth. As a Data QA Specialist, you will be responsible for manually reviewing and updating raw financial transaction spend data, verifying and making corrections to financial transaction data according to U.S. accounting rules, and documenting repeated data issues for process improvement.

To succeed in this role, you should have excellent attention to detail, strong analytical skills, and experience working with large datasets. Additionally, you should be proficient in using Google Sheets and proprietary software, as well as possess excellent written and verbal communication skills.

Key Responsibilities:
  • Manually review and update raw financial transaction spend data
  • Verify and make corrections to financial transaction data following U.S. accounting rules
  • Review expense trends over time, across many vendors and different accounting record types
  • Deduplicate overlapping transactions such as vendor bill and journal entries and select the correct record
  • Adjust amortization dates of expenses
  • Inferring amortization dates of expenses if they are not clear
  • Verify and tag the correct vendor for each transaction
Requirements:
  • 0-3 years of experience as a data or quality assurance analyst
  • At least 1 year of full-time work experience as an A/P bookkeeper, junior accountant, Accounts Payables (A/P) clerk, or in a similar position using U.S. accounting practices
  • Experience with Netsuite, Sage, Quickbooks, Xero (or similar ERP software)
  • Exceptional attention to detail
  • Experience working with large datasets
  • Experience managing multiple processes in parallel

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