Responsibilities
- Analyze and document the current and future state of the incentive compensation processes and systems, including data flows, integrations, calculations, reports, and pay files.
- Design, develop, and implement solutions using NICE ICM, SQL, Excel, and other tools.
- Design and implement data pipelines to extract, transform, and load data from various sources and systems, with a strong focus on reusability, performance, and scalability.
- Develop and implement data quality checks and validation procedures to ensure data accuracy and completeness.
- Document data processes, workflows, and methodologies.
- Develop and execute test plans, test cases, and test scripts for the incentive compensation solutions, ensuring the quality and accuracy of the deliverables.
- Document system processes and procedures and provide training to the incentive operations team.
- Provide end-to-end support for the incentive compensation solutions, including troubleshooting, root cause analysis, issue resolution, and user training.
- Collaborate and communicate effectively with stakeholders and partners ensuring the alignment and coordination of the incentive compensation projects and initiatives.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
- Bachelor's degree in business, computer science, information systems, or related field.
- Minimum 4 years of experience in business systems analysis in the incentive compensation domain.
- Experience building reports leveraging MicroStrategy(version - 2019+)
- Intermediate experience configuring and developing within ICM solutions, such as NICE, CallidusCloud, Xactly, Optymyze, or Varicent.
- Proficient in SQL, Excel, and other data analysis and reporting tools.
Preferred Qualification:
- Ability to extract and manipulate large datasets using standard tools such as Python (pandas, NumPy), Presto, and SQL.
- Strong knowledge of the incentive compensation processes and systems, including data models, calculations, rules, workflows, reports, and risk mitigation.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
