Compensation Analyst

ATI•Dallas, TX

19d•Onsite

About The Position

The Compensation Analyst will support the analysis, administration, and continuous improvement of ATI's compensation programs. This role uses compensation data and analytics to support market competitiveness, internal equity, pay decisions, and effective administration of annual compensation programs. The Compensation Analyst partners with HR Business Partners, Finance, Payroll, HRIS, and other stakeholders to support compensation decisions across ATI. This role is located at our corporate headquarters in Dallas, TX.

Requirements

Bachelor's degree in Human Resources, Business Administration, Finance, or related field.
Minimum of 5 years of experience in compensation administration and/or analysis.
Experience working with confidential employee and compensation data.
Strong analytical and problem-solving skills with the ability to interpret data and translate findings into actionable recommendations.
Advanced proficiency in Microsoft Excel, including experience working with large data sets, formulas, lookups, pivot tables, and reporting.
Strong understanding of compensation principles, salary structures, job evaluation, market pricing, and internal equity.
Ability to analyze and interpret compensation data and trends and translate findings into clear recommendations.
Highly organized with strong time management skills and the ability to manage multiple priorities and projects.
Strong attention to detail, critical thinking, and problem-solving skills.
Ability to work independently and collaboratively within a team.
Effective communication skills, with the ability to convey complex compensation information in simple terms.
High degree of discretion and professionalism when handling sensitive compensation information.

Nice To Haves

Certified Compensation Professional (CCP) or Professional in Human Resources (PHR) certification.
Experience with compensation survey providers and market pricing tools such as Mercer, PayScale/MarketPay, or similar platforms.
Experience supporting annual merit, incentive, or long-term incentive programs.
Experience with HRIS and compensation planning systems.
Experience in a manufacturing or other multi-business environment.

Responsibilities

Ensure accuracy in job pricing, survey participation, internal equity analysis, and sensitive HRIS data, with a strong emphasis on data integrity.
Analyze compensation data to support salary recommendations, internal equity, range penetration, and other compensation decisions.
Participate in compensation survey submissions and analyze external market data, salary structures, and industry benchmarks.
Develop and maintain compensation reports, analytical models, and tools to support HR leadership and business stakeholders.
Assist with the development and maintenance of salary structures, compensation guidelines, and related tools.
Successfully administer annual merit, annual incentive, and long-term incentive programs within established timelines.
Assist with the development and delivery of training and communications for employee compensation programs, enhancing understanding and engagement.
Support compensation planning, budgeting, forecasting, and related annual compensation processes.
Support the preparation of compensation reports, analysis, and materials for HR leadership and business stakeholders.
Identify and implement opportunities to improve compensation processes, reporting, data quality, and overall service delivery.
Participate in special projects and other compensation-related initiatives, including Pay for Performance.
Conduct internal equity analyses to provide data-driven salary recommendations for new hires, promotions, transfers, and other employee actions.
Partner with HR Business Partners and HR leaders to provide compensation analysis and support compensation recommendations.
Respond to compensation questions and provide clear, practical explanations of compensation programs and practices.
Collaborate with Payroll, Finance, HRIS, and other functions to ensure compensation processes and data are accurate and aligned.