Compensation Analyst

Job Description 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. 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 Qualifications Basic Qualifications BA/BS degree in a related field 2+ years of experience in compensation analytics, or people analytics Preferred Qualifications 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 Suggested Skills Analytical skills Compensation Planning Data Visualization/Data Modeling Collaboration Technical acumen LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $71,000 to $115,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at View email address on click.appcast.io and describe the specific accommodation requested for a disability‑related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non‑disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non‑discrimination provisions described at Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: #J-18808-Ljbffr Hunt