EPAM

Financial analyst in compensation

In short

Lead Financial Analyst role on EPAM's People Science & Analytics team, focused on analyzing compensation data, building compensation models and reports, and supporting salary review and pay equity processes. The company is EPAM, a large IT services firm; this is a hybrid position in Russia requiring strong Excel skills and at least 5 years of relevant finance/compensation/FP&A experience with English at B2 level.

Описание
We are seeking a detail-oriented and analytical Lead Financial Analyst to join our People Science & Analytics team. You will analyze complex compensation data, generate actionable insights, develop analytical products, reports, and models, and enable data-driven decision-making within compensation processes and programs across the organization.
Задачи
•Analyze complex compensation data to identify trends, patterns, and risks, transforming data into actionable insights and recommendations
•Support and contribute to compensation initiatives, including salary review cycles, pay equity analysis, compensation planning, and other compensation programs
•Conduct market compensation analysis and salary benchmarking to support compensation decision-making
•Develop analytical approaches, models, and scenarios to evaluate compensation-related questions and provide data-driven recommendations
•Define business requirements for compensation data products, reports, and dashboards, partnering with technical teams to improve data availability, reporting capabilities, and analytical solutions
•Ensure the accuracy, consistency, and confidentiality of compensation data and analytical outputs
Требования
•Proven experience in compensation, FP&A, finance, consulting (including Big Four), reporting, or other analytical roles
•Strong analytical and critical thinking skills, with the ability to challenge assumptions and draw meaningful conclusions from complex data
•Proficiency in Excel (PivotTables, Power Query)
•Ability to structure ambiguous problems, evaluate different approaches, and proactively propose 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
Будет плюсом
•Experience with Power BI or other BI tools for reporting and dashboard development
•Knowledge of SQL, VBA, or R
•Proficiency in PowerPoint
Условия
Условий в вакансии нет

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