ICM Data Analyst

Duration: 6+ months

Must have a valid LinkedIn profile

100% remote but the candidate must be based in any of these states - AR, AZ, DE, FL, GA, IA, IL, KS, KY, MD, ME, MI, MN, MO, ND, NE, OK, SD, TN, TX, VA, WI

Position Overview

As an Incentive Compensation Management (ICM) Data Analyst, you will be responsible for analyzing, interpreting, and manipulating large datasets within our ICM platform. Your insights and data-driven recommendations will be essential in helping our organization make informed decisions related to incentive compensation programs.

Key Responsibilities

 

• Collect, clean, and preprocess data from various sources to ensure data accuracy and consistency.
• Analyze and interpret compensation data to identify trends, anomalies, and areas for improvement.
• Develop and maintain reports, dashboards, and visualizations to present compensation-related insights to stakeholders.
• Collaborate with cross-functional teams, including finance, sales, and HR, to gather requirements and provide data-driven recommendations.
• Validate incentive calculations and ensure accuracy and compliance with compensation plans.
• Perform ad-hoc data analysis and respond to data-related inquiries from internal and external stakeholders.
• Contribute to the development of data-driven strategies to optimize compensation processes and drive performance.
• Stay up-to-date with industry trends and best practices in compensation data analysis. 
  
   

Qualifications

 

• Bachelor's degree in Data Science, Statistics, Mathematics, Business, or a related field.
• Proven experience as a Data Analyst, preferably in the context of incentive compensation management or a related field.
• Proficiency in data manipulation and analysis using tools such as Excel, SQL, and Informatica ETL
• Strong analytical and problem-solving skills with attention to detail.
• Familiarity with incentive compensation plans, metrics, and calculations is a plus.
• Excellent communication skills to effectively convey complex data findings to non-technical stakeholders.
• Ability to work independently and as part of a collaborative team.
• Experience with database management and data warehousing is advantageous.
• Knowledge of programming languages like Python or R is a plus.