ESG Compensation Analytics Research Associate

American Corporation for Public Well Being; Milwaukee (WI); On-site; USD 42,000 - 63,000; Full time

Job summary

ACPWB in Milwaukee seeks a Research Assistant, Compensation Analytics to grow within a rigorous ESG Strategy team. You will learn executive pay data collection and validation, support literature reviews, and assist in maintaining methodology documentation from day one.

You'll be mentored by a Team Manager, participate in the Research Rotation Initiative, and contribute to quality-control checks while building mastery of our data platforms.

Qualifications

• Interest in compensation, human capital, or workforce research as a professional focus.
• Demonstrated intellectual curiosity and a habit of asking questions when something is unclear.
• Demonstrated ability to manage time, prioritize competing tasks, and meet deadlines without constant supervision.
• Demonstrated proficiency in Microsoft Excel including pivot tables, VLOOKUP, and basic charting.

Responsibilities

• Conduct literature reviews and desktop research on topics relevant to executive pay data collection and validation
• Shadow client meetings and preparation sessions to build understanding of client-facing advisory work
• Assist in updating and maintaining standard methodology documentation for the ESG Strategy practice
• Perform quality-control checks on analytical models produced by senior team members
• Flag data anomalies and inconsistencies to senior team members for resolution

Skills

Interest in compensation

Intellectual curiosity

Time management

Pivot tables

VLOOKUP

Basic charting

Tools

Microsoft Excel

Job description

ACPWB in Milwaukee seeks a Research Assistant, Compensation Analytics to grow within a rigorous ESG Strategy team. You will learn executive pay data collection and validation, support literature reviews, and assist in maintaining methodology documentation from day one.

You'll be mentored by a Team Manager, participate in the Research Rotation Initiative, and contribute to quality-control checks while building mastery of our data platforms.