NICE Sales Compensation Financial Data Analyst 

United States, Oregon 

202216316

The ideal candidate brings a solid technical foundation, exceptional analytical abilities, and a proven understanding of financial and compensation systems. At least 5 years of experience in finance, data analysis, or sales compensation is essential for success in our fast-paced environment.

How will you make an impact?

• Translate customer business requirements into technical designs and product configurations.
• Analyze sales performance and incentive compensation data to identify trends and insights that drive business decisions.
• Implement, maintain, and enhance financial models to support sales compensation structures and forecast financial impact.
• Collaborate with internal stakeholders and teams as well as external customers to ensure accurate incentive compensation calculations and reporting.
• Design and generate reports and dashboards to track key performance metrics and support leadership in strategic decision-making.
• Validate data integrity and troubleshoot discrepancies by leveraging SQL, Excel, and other data analysis tools.
• Assist in developing, testing, and implementing system enhancements related to compensation processes and financial reporting.
• Provide recommendations for improving incentive structures based on data-driven analysis.
• Ensure compliance with internal policies and external regulations related to sales compensation and financial reporting.
• Contribute to the team’s continual improvement process
• Up to 10% travel will be required

Have you got what it takes?

• Minimum of 5 years of experience in finance, data analysis, or sales / incentive compensation roles.
• Strong analytical skills with a deep understanding of financial principles and data interpretation.
• Advanced proficiency in Excel (e.g., pivot tables, VLOOKUP, macros) and experience with SQL for querying databases.
• Experience with business intelligence and reporting tools such as MicroStrategy, Power BI, or similar platforms.
• Understanding of sales compensation models and their financial impact.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Excellent customer facing skills, ability to set own task lists and time lines.
• Bachelor's degree in Finance, Economics, Data Science, or a related field.

Valuable skills:

• Nice to have technical skills: XML, SQL, HTML.
• Experience with sales compensation management tools
• Experience implementing and automating enterprise applications and BI tools.
• Knowledge of ETL and data transformation techniques.
• Familiarity with programming languages such as SQL, PL/SQL, Shell Scripting, Python or R for advanced data analysis.

This job description is not intended to be all-inclusive, and employees will also perform other reasonable related business duties as assigned by immediate supervisor and other management as required. This organization reserves the right to revise or change job duties as the need arises. This job description does not constitute a written or implied contract of employment

Individual Contributor