Total Rewards Analyst

Savvas Learning Company • Full-time • Hybrid in Northbrook, Illinois, United States • 1d ago

Fast Facts

The Total Rewards Analyst will serve as a key individual contributor managing compensation programs, data analytics, and financial modeling to ensure competitive and equitable compensation practices within the organization.

Responsibilities: Key responsibilities include market analysis for salary benchmarking, financial modeling for compensation planning, and maintaining data integrity in total rewards reporting while collaborating with HR partners.

Skills: Required skills include advanced proficiency in Excel, experience with HRIS and Compensation systems, and the ability to analyze large datasets.

Qualifications: Preferred qualifications include 5+ years in Human Resources with 3+ years in compensation design, a bachelor's degree, and experience in EdTech or Publishing and private equity-held companies.

Location: This position is located in Northbrook, IL, USA.

Compensation: Not provided by employer. Typical compensation ranges for this position are between $90,000 - $120,000.

The Total Rewards Analyst serves as a hands-on Individual Contributor for the Total Rewards function. In this role, you will serve as the technical resource for the team, owning data, financial modeling, operations, and the administration of compensation programs. You will design and administer base pay, incentive plans, and merit cycles, ensuring our pay philosophy is backed by data while remaining market competitive.

Responsibilities

Market Analysis & Program Administration

Evaluate and benchmark job positions within the organization to determine appropriate salary ranges and classifications.
Conduct regular audits of compensation data to ensure accuracy and integrity.
Assess positions to ensure career levels are aligned across the organization.
Conduct pay equity analyses to ensure competitive and equitable practices, identifying outliers and recommending remediation.
Manage compensation data and benchmarking for international employees across multiple countries engaged through Employer of Record (EOR) platforms.

Financial Modeling & Compensation Planning

Support the annual compensation cycle including system configuration, data modeling and validation, and coordination and partnership with payroll.
Draft communications and training materials for leadership regarding comp cycle logistics.
Create and maintain financial models to simulate salary structures, variable pay scenarios, and budget impacts.
Implement "what-if" costing scenarios to support executive decision-making.

Data Analytics & Operations

Design and maintain total rewards dashboards and reporting, ensuring data integrity.
Prepare high-level analytics, translating complex datasets into clear, actionable insights.
Provide guidance to HR Business Partners and managers on FLSA exemptions, benchmarking, market pricing, job revisions, and off-cycle increases.

Partnership & Strategy

Establish and maintain effective working relationships across the company, particularly with HR Business Partners and HR Centers of Excellence.
Ensure job descriptions are kept current by working with managers to reflect actual duties and requirements while ensuring career pathing is available across the organization.

Required Experience & Education

5+years of experience in Human Resources with a minimum of 3+ years in compensation program design and administration.
Previous experience in EdTech or Publishing strongly preferred.
A bachelor's degree is required.
Ensure compliance with local, state, and federal regulations related to compensation.
Proven ability to work with critical information independently.
Requires advanced proficiency in Excel, skilled in INDEX/MATCH, XLOOKUP, IFS, pivot tables.
Demonstrated ability to build dynamic, flexible models that can handle variable inputs (e.g., merit matrices, bonus calculations) and audit them for errors.
Experience managing large datasets, including "scrubbing" data from disparate sources to ensure accuracy before analysis.
Proficiency in HRIS and Compensation systems, with the ability to test system setups.
Excellent accuracy in data handling; ability to spot formula errors or data inconsistencies immediately.
Experience managing sales compensation pay and programs strongly preferred
Experience working in a private equity-held company, a company with an international footprint, specifically in Canada.
Working knowledge of Dayforce, CompTool, or other compensation planning tools.
Strong preference given to candidates local to Chicago/Northbrook Office

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