In a previous role, I noticed discrepancies in payroll reports that suggested underpayment. I cross-referenced employee records with payment logs, identified the root cause as a misconfigured salary structure, and collaborated with HR and finance teams to rectify the issue. This ensured accurate compensation and prevented future errors.

I prioritize cases based on the severity of the impact, such as immediate financial hardship or legal implications. I also consider the complexity of resolution, allocating more time to intricate cases while addressing simpler ones promptly. This ensures efficient handling of all cases without compromising accuracy.

I have experience with payroll software like ADP and SAP, as well as data analysis tools such as Excel and SQL. These tools help me extract, analyze, and interpret payment data to identify discrepancies and ensure compliance with company policies and regulations.

I follow a systematic approach, starting with data validation to ensure completeness and consistency. I then use automated checks and cross-referencing techniques to identify anomalies. Regular double-checking and collaboration with team members further enhance accuracy and minimize errors.

I simplify complex data into clear, actionable insights using visual aids like charts and summaries. I tailor my communication to the audience, focusing on the impact of underpayments and the steps needed to resolve them. This ensures stakeholders understand the issue and can make informed decisions.