Compensation Analyst

LinkedIn•Chicago, IL

1d•Hybrid

About The Position

This role will be based in Chicago, New York City, Sunnyvale or San Francisco. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We are looking for a Compensation Analyst to join our team in contributing to the development and implementation of region-wide compensation strategies, practices and processes. This role sits within the Compensation Operations and Excellence (COE) team and is responsible for delivering data-driven insights, developing scalable dashboards, and providing technical analytics support. This role blends compensation expertise with strong technical and analytics capabilities to enable better decision-making, improve data accessibility, and enhance the efficiency of compensation processes.

Requirements

BA/BS degree in a related field
2+ years of experience in compensation analytics, or people analytics
Strong analytical and quantitative skillset, with the ability to translate complex data into clear business insights
Advanced proficiency in Microsoft Excel, including complex formulas, pivot tables, and macros/VBA
Proficiency in SQL for querying and working with large datasets
Experience with data visualization and data modeling (e.g., Power BI or similar tools)
Demonstrated collaboration skills and ability to work cross-functionally with business and technical teams
Strong technical acumen with the ability to learn and apply new tools and systems quickly
Knowledge of MS Office (Outlook, Word, PowerPoint)
Ability to effectively manage time, prioritize tasks and work within deadlines with little supervision

Responsibilities

Analyze large, complex datasets to generate actionable insights and support compensation decision-making
Build and maintain scalable dashboards, data models, and reporting solutions (e.g., Power BI)
Create and manage high-quality, “single source of truth” datasets with strong data governance
Automate workflows and enable self-service analytics for the key stakeholders
Deliver compensation analysis and modeling to support program design and strategic recommendations