NICE Senior Sales Compensation Financial Data Analyst CX 

United States, Oregon 

661027579

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.

Job Responsibilities:

• 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

Required Skills/Experience:

• 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.