Accounts Receivable Analyst II, Global Finance Operations (US Rebates)
1 month ago
As an Accounts Receivable Analyst II, Global Finance Operations (US Rebates), you will be responsible for extracting rebate data from various sou.....
As an Accounts Receivable Analyst II, Global Finance Operations (US Rebates), you will be responsible for extracting rebate data from various sources and using tools like macros for ETL (Extract, Transform, Load) processes. Key responsibilities include identifying and resolving data discrepancies, generating timely reports to aid decision-making, and creating dashboards for effective data visualization. You will maintain reporting templates to track rebate performance and produce regular and ad-hoc reports for stakeholders. Collaboration with cross-functional teams is essential for validating rebate data, analyzing agreements for compliance, and assisting in rebate calculations. Additionally, you will be responsible for maintaining detailed documentation of data sources and continuously improving reporting processes and data quality.
KEY RESPONSIBILITIES AND ROLE ACCOUNTABILITIES:
- Extract rebate data from various sources and systems.
- Utilize macros and other tools to extract, transform and load (ETL) data for rebate analysis.
- Identify and resolve data discrepancies and inconsistencies.
- Generate and distribute timely, accurate and insightful reports related to rebate programs, helping in decision-making and strategy.
- Create dashboards and data visualizations to convey insights effectively.
- Create and maintain reporting templates to track analyze rebate performance.
- Generate regular and ad-hoc reports for internal stakeholders.
- Collaborate with cross-functional teams to gather, validate, and maintain rebate-related data.
- Analyze rebate agreements to ensure compliance and accuracy.
- Assist in the calculation and processing of rebates.
- Maintain detailed documentation of data sources, processes and reports
- Continuously seek opportunities to enhance reporting processes and data quality.
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