HR Advisory Economist

Equity Methods • Scottsdale, AZ

7d • Remote

About The Position

Equity Methods seeks a results-focused, growth-oriented professional to support and drive client engagements serving the chief human resources officers and compensation executives at Fortune 500 companies and beyond. Our HR advisory practice offers you the ability to apply core economics and quantitative science principles in a rigorous yet applied capacity. Our work directly impacts the C-suite at client firms on topics in workforce analytics such as pay equity, talent mobility analytics, workforce planning, and incentive design. You will lead complex client engagements and be responsible for delivering high-impact solutions that leverage your background in economics, in addition to supervising associates on the team. This custom pathway into a senior consulting role is designed for graduate degree holders (Masters or PhD) in Economics, Finance, Accounting, Statistics, Industrial/Organizational Psychology, or other applied quantitative sciences. The role will blend data analysis and modeling, statistics, consulting, and AI to help clients optimize their workforce. This client-facing role will lead engagements and collaborate with the team to build predictive models, drive pay equity studies, and perform other talent analytics.

Requirements

• Fluent in classical and applied econometrics
• Ability to build repeatable, well-documented models that comply with industry-accepted frameworks and regulatory standards, as applicable
• Ability to visualize complex technical results clearly for non-technical audiences
• Ability to translate analysis results into plain-English for actionable insights and recommendations for HR and C-suite stakeholders
• Interest in contributing to thought leadership that advance EM’s services
• PhD or Masters in Statistics, Economics, Finance, Accounting, Industrial/Organizational Psychology, or another quantitative social science related field.
• Strong Excel skills and the ability to design robust, insight-rich models.
• Coding experience in SAS, Python, R, or STATA
• Strong detail- and accuracy-orientation. Successful candidate must demonstrate attention to detail with regard to internal and external communication, creating and reviewing deliverables, and performing modeling analyses.
• Ability and willingness to think critically and solve “out-of-the-box” problems independently.
• Background check required.

Nice To Haves

• Prior professional services experience is not required, and neither is compensation or workforce analytics experience.
• Prior work experience in consulting or professional services role is not required, but having this background is a plus.

Responsibilities

• Complete initial training in compensation and workforce analytics projects, ranging from broad-based compensation issues to incentive design to statistical pay equity analysis.
• Lead projects and deliver guidance on statistical matters in pay equity, talent mobility, workforce planning, and other workforce analytics-related projects for clients across industries and company sizes.
• Contribute to compensation strategy projects, in which we are engaged by public and private companies to recommend new incentive programs that support critical business objectives.
• Capture recommendations and analytics for external and internal audiences in superbly structured and clear PowerPoint presentations and Excel worksheets.
• Perform research using clients’ 10-K and proxy statements to form viewpoints on market compensation practices, including pay levels, incentive structures, corporate governance, disclosure, and equity dilution.
• Analyze broad-based compensation benchmarking survey data to recommend employee pay levels in light of industry and peer practices.
• Monitor and interpret the regulatory landscape for pay equity and workforce analytics (e.g., EUPTD, OFCCP, EEOC, state and international pay transparency requirements) to keep methodologies current and defensible.

Benefits

• support professional development in our outstanding colleagues
• We have a bias toward promoting from within and we celebrate the diverse strengths of our colleagues.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior