> Markdown version of [/jobs/ext/264226-incentive-data-analyst](https://www.wearedevelopers.com/jobs/ext/264226-incentive-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Incentive Data Analyst - **Company:** Driscoll Foods - **Location:** Wayne, NJ, United States - **Salary:** $60,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Data Analysis, Big Data, Data Validation, Lookup Table, Microsoft Office, Pivot Tables, Warehouse Management Systems, HR Software - **Published:** May 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=931db521058578c3 ## About the Role Do you have experience in Warehouse management system?, * Advanced Excel Mastery: Must be expert-level in Excel (VLOOKUP, HLOOKUP, Pivot Tables, If/Then statements, and Data Validation). Ability to handle large, complex datasets without loss of integrity. * Analytical Rigor: Strong quantitative skills with a "detective" mindset for spotting data outliers or calculation errors. * Deadlines & Pressure: Proven ability to manage strict weekly deadlines where there is zero margin for error. * Communication Excellence: Exceptional interpersonal skills. You must be able to explain technical pay formulas to employees in a way that is easy to understand while maintaining professional boundaries. * Organizational Skills: High level of autonomy and time management. Must be able to pivot between deep data analysis and active employee engagement seamlessly. Technical Skills & Tools * Required: Advanced Microsoft Excel, Intermediate Microsoft Office Suite. * Preferred: Experience with Payroll/HRIS software or Warehouse Management Systems (WMS)., * Microsoft Excel: 1 year (Preferred) ## Description The Incentive & Payroll Data Analyst is a critical role responsible for the precise calculation and reporting of performance-based compensation for over 450 employees. This position demands a high level of technical proficiency in Excel, a rigorous commitment to deadlines, and the interpersonal skills to communicate complex pay structures to a diverse workforce. You will be the primary point of contact for all incentive-related inquiries, ensuring that our warehouse and transportation teams are paid accurately and on time., * High-Volume Payroll Processing: Audit, calculate, and process weekly performance incentives for 450+ employees (including Drivers, Helpers, Selectors, and Warehouse staff) based on complex productivity and output metrics. * KPI Reporting: Compile and distribute weekly Operations KPI reports to leadership, identifying trends in productivity and performance. * Transparency & Documentation: Generate individualized pay breakdowns for every employee each payday, clearly illustrating how their performance translated into their earned incentive pay. * Discrepancy Resolution: Lead the "Root Cause Analysis" for any pay discrepancies. Investigate data errors, determine resolutions, and communicate findings clearly and professionally to both management and the affected employee. * Employee Relations: Act as the subject matter expert for incentive pay structures. Handle high volumes of employee inquiries with a "firm but fair" approach, ensuring issues are resolved within 24-48 hours. * Process Improvement: Drive organizational understanding of employee needs by identifying patterns in pay issues and recommending system or policy enhancements to improve the employee experience. * Market Intelligence: Monitor industry and competitor benchmarks to ensure our incentive programs remain competitive and effective in retaining top talent. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [What if your HR software adapted to you, not the other way around?](https://www.wearedevelopers.com/videos/100259-what-if-your-hr-software-adapted-to-you-not-the-other-way-around) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Is it still C#? 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