Compensation Data Analyst
- Full Time
About the role
Job Requirements
Alkegen brings together two of the world’s leading specialty materials companies to create one new, innovation-driven leader focused on battery technologies, filtration media, and specialty insulation and sealing materials. Through global reach and breakthrough inventions, we are delivering products that enable the world to breathe easier, live greener, and go further than ever before.
With over 60 manufacturing facilities with a global workforce of over 9,000 of the industry’s most experienced talent, including insulation and filtration experts, Alkegen is uniquely positioned to help customers impact the environment in meaningful ways.
Alkegen offers a range of dynamic career opportunities with a global reach. From production operators to engineers, technicians to specialists, sales to leadership, we are always looking for top talent ready to bring their best. Come grow with us!
Job Responsibilities:
Compensation Analysis & Reporting
- Analyze compensation data to support salary planning, pay equity reviews, incentive programs, and compensation decision-making.
- Prepare recurring and ad hoc compensation reports, dashboards, and analytics for HR and business leaders.
- Monitor compensation trends and identify patterns, risks, and opportunities for improvement.
- Support annual compensation processes including merit planning, promotions, and market adjustments.
Market Benchmarking
- Participate in compensation surveys and maintain survey submissions.
- Conduct market pricing analyses using external compensation databases and survey sources.
- Evaluate external market competitiveness and provide recommendations based on findings.
Job Architecture & Data Management
- Maintain job architecture, job family, job level, and compensation-related data within HR systems.
- Support job evaluations and job matching exercises.
- Ensure data integrity and consistency across HRIS, compensation databases, and reporting tools.
- Assist in updating job profiles and compensation structures.
Analytics & Insights
- Develop and maintain compensation dashboards and workforce analytics reports.
- Perform statistical analysis to identify pay compression, pay equity, and market positioning trends.
- Translate complex compensation data into actionable business insights.
- Provide analytical support for compensation-related projects and initiatives.
Compliance & Governance
- Ensure compensation practices comply with company policies and applicable regulations.
- Support audits and documentation requirements related to compensation programs.
- Maintain confidentiality and security of employee compensation data.
Stakeholder Support
- Partner with HR Business Partners, Talent Acquisition, and business leaders on compensation-related inquiries.
- Support compensation recommendations for new hires and internal moves.
- Provide data-driven guidance related to compensation structures and policies.
Qualifications & Experience
- Bachelor's degree in Human Resources, Business Administration, Finance, Economics, Statistics, Data Analytics, or a related field.
- 2-5 years of experience in Compensation, HR Analytics, Total Rewards, Finance Analytics, or a related analytical role.
- Experience working with compensation surveys, market pricing, and HR data preferred.
- Advanced proficiency in Microsoft Excel (Pivot Tables, VLOOKUP/XLOOKUP).
- Experience with HRIS platforms such as Workday, DayForce, or similar.
- Proficiency in Power BI, Tableau, or other reporting/visualization tools.
- Strong analytical and quantitative problem-solving skills.
- Knowledge of compensation survey tools and benchmarking methodologies.
At Alkegen, we strive every day to help people – ALL PEOPLE – breathe easier, live greener and go further than ever before. We believe that diversity and inclusion is central to this mission and to our impact. Our diverse and inclusive culture drives our growth & innovation and we nurture it by actively embracing our differences and using our varied perspectives to solve the complex challenges facing our changing and diverse world.
Employment selection and related decisions are made without regard to sex, race, ethnicity, nation of origin, religion, color, gender identity and expression, age, disability, education, opinions, culture, languages spoken, veteran’s status, or any other protected class.