Data QA Specialist

The role

You will check and clean raw financial and accounting data so it gives accurate business expense insights. You will review transactions and records, fix category mappings, and find the causes of data issues.

What you will do

• Review and validate accounting data exported from ERP systems, including vendor, invoice, bill, payment, and transaction records.
• Apply accounting knowledge to decide how transactions should appear in expense data.
• Review and correct vendor and spend category mappings.
• Identify and resolve duplicated, incomplete, or inconsistent records.
• Investigate data quality issues and work with data and engineering teams to improve processing rules.
• Ensure the final data is accurate and reliable for business expense analysis.
• Ensure compliance with company data security and confidentiality policies.

Required qualifications

• Bachelor's degree or above.
• 0 to 2 years of hands-on accounting or bookkeeping experience, including internships, or 0 to 2 years as a data or quality assurance analyst in finance data.
• Experience with accounting processes such as transaction categorization, invoice processing, expense review, account reconciliation, accounts payable, accounts receivable, or general ledger entries.
• Hands-on experience with at least one mainstream ERP, accounting, or expense management system, such as SAP, Oracle, NetSuite, QuickBooks Online, Ramp, Xero, or similar.
• Familiarity with accounting standards and the ability to distinguish company accounting categories.
• Experience managing multiple processes in parallel.
• Exceptional attention to detail, problem-solving, and critical thinking.
• Ability to work independently while coordinating with a remote team.
• Excellent written and verbal communication skills in English.

Nice to have

• Degree in Accounting, Finance, Business, Statistics, Computer Science, or a related field.
• Basic data analysis skills and familiarity with Excel, SQL, or Python.

Benefits

• Flexible work hours and flexible vacation.
• Generous 401K match.
• Parental leave.
• Team events.
• Wellness budget.
• Learning reimbursement.

Before you apply

• Exceptional employees may have the opportunity to be promoted and manage a team of other Data QA Associates.
• The final offer may depend on experience, knowledge, skills, abilities, and internal team benchmarks.

About the company

YipitData is a market research and analytics firm for the disruptive economy, which recently raised $475M from The Carlyle Group. This role supports SpendHound, its SaaS spend management platform.