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Financial Analyst (Compensation Analyst)

EPAM Systems · Remote - Ukraine · 2026-09-29

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Job description

We are seeking a detail-oriented and analytical Compensation Analyst to join our People Science & Analytics team. You will analyze compensation data, generate insights, support compensation processes, and contribute to the development of reports and analytical solutions that enable data-driven decision-making across the organization.

Responsibilities

- Analyze compensation data to identify trends, patterns, and potential risks, and translate findings into meaningful insights

- Support compensation initiatives, including salary review cycles, compensation planning, pay equity analysis, and other compensation-related activities

- Conduct compensation analysis and salary benchmarking using internal and external data sources

- Prepare reports, dashboards, and analytical materials to support compensation processes and decision-making

- Contribute to the development and improvement of analytical approaches, reporting solutions, and data products in collaboration with Compensation and technical teams

- Support ad hoc compensation analysis requests by gathering data, performing analysis, and preparing recommendations

- Ensure the accuracy, consistency, and confidentiality of compensation data and analytical outputs

Requirements

- 2+ years of experience in compensation, FP&A, finance, reporting, HR analytics, consulting, or other analytical roles

- Strong analytical and critical thinking skills, with the ability to analyze complex data and draw meaningful conclusions

- Proficiency in Excel (PivotTables, Power Query)

- Ability to structure tasks, investigate data, and proactively identify solutions

- High level of accuracy, attention to detail, and ownership of data quality

- Ability to handle confidential compensation and employee data with discretion

- English — B2 level

Nice to have

- Experience with Power BI or other BI tools for reporting and dashboard development

- Knowledge of SQL, VBA, or R

- Experience with compensation analytics, salary benchmarking, or HR data analysis

- Proficiency in PowerPoint