Full-Time Sales, Compensation, Financial & Data Analyst

We are seeking a highly motivated and experienced Finance or Data Analyst to lead sales and incentive compensation analytics, financial modeling, and data-driven strategy.

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 using 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.

Required Experience:

• Minimum 5 years of experience in finance, data analysis, or sales compensation.
• Strong analytical skills and 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 (e.g., MicroStrategy, Power BI).
• 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.
• Excellent customer-facing skills, ability to set own task lists and timelines.
• Bachelor's degree in Finance, Economics, Data Science, or a related field.

Desired 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 (e.g., SQL, PL/SQL, Shell Scripting, Python, R)

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