Compensation Analyst
Almo
Compensation Analyst
Philadelphia, PA - Philadelphia, PA 19154
Overview
Position Type Full Time Category Human Resources
Description
Summary: The Compensation Analyst supports the design, analysis, and administration of compensation programs across JAM and Almo, ensuring that pay practices are competitive, equitable, and aligned with business objectives. This role is responsible for collecting and analyzing compensation data, preparing recommendations, and supporting annual compensation cycles.
The Analyst partners closely with HR Centers of Excellence (COEs) to deliver data-driven insights and recommendations that help attract, retain, and reward talent. This includes supporting base pay, incentive, and equity programs, maintaining compensation data integrity within HR systems, and contributing to continuous improvement in compensation processes and tools.
This is a hybrid/remote position that will report to the office 3x/week.
Duties and Responsibilities:
Compensation Administration & Analysis
- Conduct job evaluations and market pricing using survey data to support internal equity and external competitiveness.
- Support the development and administration of compensation structures and guidelines, including salary ranges and job leveling, across U.S. and Canadian entities.
- Provide compensation analysis and costing support for promotions, job changes, reorganizations, and pay adjustments.
- Support the annual compensation cycle (merit, bonus, and incentive programs), including data preparation, validation, and reporting.
- Assist with the implementation and ongoing maintenance of the Dayforce Compensation module and related compensation data.
- Provide compensation data analysis to support employee classification and FMLA eligibility reviews.
- Assist with the review and maintenance of job titles, job descriptions, and leveling frameworks to ensure consistency and alignment with organizational structures.
Compliance & Governance
- Support 401(k) plan mergers and related transitions by preparing, validating, and analyzing compensation data used for HCE determination, coverage testing, and compliance requirements.
- Support 401(k) audits, workers' compensation audits, and other internal or external audits as required.
- Support compliance reporting, including pay equity, gender pay, and EEO-1.
- Participate in the Québec Pay Equity maintenance process, conducted every five years, ensuring compliance with provincial legislation and accurate job classification across applicable positions.
- Conduct periodic reviews of employee classifications and FMLA eligibility across all employee groups to ensure compliance with legislation and alignment with company compensation policies.
Market Research & Continuous Improvement
- Participate in annual compensation survey submissions and maintain an up-to-date market data library.
- Monitor compensation trends, legislation, and best practices in Canada and the U.S. to ensure competitiveness and compliance.
Projects & Initiatives
- Provide analytical and project support for Total Rewards initiatives (policy updates, compensation philosophy reviews, process enhancements).
- Other duties and projects as required.
Qualifications
Job Requirements:
- Bachelor's degree in Business Administration, Human Resources, or a related field, or an equivalent combination of education and experience.
- 2+ years of experience in compensation analysis, HR analytics, or a related HR role with a strong analytical focus.
- Strong proficiency in Microsoft Excel (pivot tables, formulas, data analysis, and reporting).
- Experience with Dayforce (HRIS) is a plus.
- Customer-service oriented, demonstrating a proactive and supportive approach to internal stakeholders.
- Solid understanding of data management, validation, and analysis within HR and compensation contexts.
- High level of integrity and professionalism, with a strong commitment to confidentiality.
- Exceptional organizational skills and attention to detail.
- Strong collaboration and communication skills, with the ability to clearly explain data or system-related issues to non-technical audiences.
- Ability to manage multiple priorities and meet deadlines in a fast-paced, evolving environment.
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