Compensation Consultant - Total Rewards

Wells Fargo & Company•Minneapolis, MN

1d•$68,000 - $114,000•Hybrid

About The Position

Wells Fargo is seeking a Compensation Consultant to join the Compensation team within Total Rewards, supporting the Chief Operating Office (COO). The role provides analytical support for compensation decision-making through data analysis, reporting, workforce insights, and compensation planning. The consultant partners with Compensation, Human Resources, Finance, and business leaders to deliver analysis and recommendations that support compensation strategies and business outcomes. The position offers a hybrid work schedule and is located in Charlotte, North Carolina, or Minneapolis, Minnesota. Relocation is not offered, and the position is not eligible for visa sponsorship. The base pay range is $68,000–$114,000, with possible eligibility for incentive opportunities. Wells Fargo provides eligible employees with a comprehensive benefits package. The posting end date is November 2, 2026, though the posting may be removed earlier due to applicant volume. Employees are accountable for applicable risk programs and for following Wells Fargo policies and procedures, fulfilling risk and compliance obligations, escalating and remediating issues, and making sound risk decisions. Wells Fargo is an equal opportunity employer and maintains a drug-free workplace. Third-party recordings during recruiting are prohibited unless authorized, and applicants must represent their own experiences and provide accurate information and supporting documentation for lawful employment and education verification.

Requirements

At least 2 years of Compensation or Analytics experience, or equivalent experience demonstrated through work, training, military experience, or education.

Nice To Haves

Experience analyzing and interpreting compensation, workforce, or HR-related data.
Strong analytical, quantitative, and problem-solving skills, including the ability to identify trends, risks, and opportunities in large datasets.
Advanced Microsoft Excel skills, including large datasets, formulas, pivot tables, and reporting tools.
Experience preparing executive-ready reports, dashboards, presentations, and recommendations.
Strong organizational and project management skills, including the ability to manage multiple priorities and deadlines.
Ability to collaborate effectively with Compensation, Human Resources, Finance, and business stakeholders.
Knowledge of compensation programs, pay practices, market pricing, compensation planning, and compensation governance principles.
Experience supporting year-end compensation processes, calibration activities, workforce planning, or other Human Resources programs.
Strong verbal, written, and interpersonal communication skills.
Familiarity with Workday, Power BI, reporting tools, and the financial services industry.

Responsibilities

Develop, maintain, and analyze compensation reports, dashboards, metrics, and workforce insights to support compensation programs and business initiatives.
Analyze compensation and workforce data, including market comparisons, compensation modeling, job-leveling support, and ad hoc research.
Use Workday, Power BI, Excel, and other reporting platforms to provide actionable insights.
Prepare executive-ready reports, presentations, and materials for compensation reviews, calibration discussions, leadership meetings, and decision-making.
Support year-end compensation planning through reporting, data validation, calibration preparation, and identification of anomalies or trends for further review.
Partner with Compensation Consultants, Human Resources, Finance, and business stakeholders to address compensation-related inquiries and provide analytical support.
Assist with offer evaluations and job-leveling reviews to support alignment with compensation guidelines and practices.
Manage small- to medium-sized compensation projects, coordinate stakeholder feedback, track milestones, and deliver project objectives on time.
Identify opportunities to improve reporting, processes, and data quality.