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Compensation Insights Analyst
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Strength in TrustOneTrust's mission is to enable organizations to use data and AI responsibly. Our platform simplifies the collection of data with consent and preferences, automates the governance of data with integrated risk management across privacy, security, IT/tech, third-party, and AI risk, and activates the responsible use of data by applying and enforcing data policies across the entire data estate and lifecycle. OneTrust supports seamless collaboration between data teams and risk teams to drive rapid and trusted innovation. Recognized as a market pioneer and leader, OneTrust boasts over 300 patents and serves more than 14,000 customers globally, ranging from industry giants to small businesses. The Challenge The Compensation Insights Analyst supports the operational and analytical foundation of the Total Rewards function by maintaining accurate data, tools, and system configurations. This role combines hands-on work across Compensation and HR Technology to ensure that job profiles, pay structures, and related data are accurate, compliant, and optimized for reporting and analysis. Key responsibilities include managing system updates to compensation-related data (such as job profiles and pay grades), processing large data uploads, and developing or maintaining reference tools that enable cross-functional partners—such as Talent Acquisition and HR Business Partners—to access reliable compensation information. The analyst will also conduct data quality reviews, prepare structured compensation reports and datasets, and support senior team members in modeling and market benchmarking efforts. This onsite role, based in Madrid, Spain, and is ideal for a detail-oriented professional seeking hands-on experience in compensation operations, HR systems, data analytics, and global Total Rewards practices. Your MissionWorkday Data Setup & Maintenance Create, update, and maintain job profiles, pay grades, and grade profiles in Workday according to established job architecture and compensation frameworks. Prepare and execute EIB (Enterprise Interface Builder) uploads for large-scale compensation and job data changes, ensuring accuracy and successful integration. Partner with HRIS and Total Rewards teams to validate data integrity, resolve discrepancies, and maintain audit readiness. Conduct regular data quality checks on Workday compensation fields to ensure alignment with global standards and compliance requirements. Compensation Tools & Data Support Build and maintain compensation lookup tools and databases to support Compensation, Talent Acquisition, and HR Business Partners. Populate and refresh compensation grid templates and pay range tables to provide clean, accurate data for analysis and decision support. Support the development and enhancement of internal Excel-based compensation calculators, Power BI dashboards, and AI-assisted pay reference tools. Manage data inputs and reference libraries used by senior analysts for compensation modeling, forecasting, and cycle readiness. Reporting, Audits & Market Surveys Produce standard and ad hoc compensation reports using Workday, Power BI, and Excel to support business reviews and compensation cycles. Perform regular data and audit checks to ensure the accuracy of bonus accruals, equity grants, and other compensation elements. Validate and prepare datasets for pay equity analysis, market benchmarking, and annual cycle readiness. Maintain clear documentation, version control, and audit trails to safeguard data integrity across all compensation tools and reports. Assist with the testing, validation, and structuring of data for participation in annual market compensation surveys (e.g., AON, Mercer, Radford). Ensure consistency between internal job data and external market survey submissions, escalating discrepancies to senior compensation partners as needed. Continuous Improvement Identify process improvement opportunities to enhance efficiency, data quality, and audit reliability. Document and maintain standard operating procedures (SOPs) for recurring data updates, survey submissions, and EIB processes. Support the automation and optimization of compensation data and reporting workflows using tools such as Power BI, Python, or AI-based analytics. Contribute to the creation of job aids, visuals, and learning tools that promote comprehension of compensation programs. You Are Bachelor's degree in Human Resources, Business, Data Analytics, or related field or a combination of experience and education. 2–4 years of experience in Compensation, Data Analysis, or HRIS (Workday experience strongly preferred). Strong Proficiency in Microsoft Excel (including advanced formulas, pivot tables, and data validation) required. Strong analytical and audit skills with the ability to identify and correct data discrepancies across compensation, bonus, and equity records. Familiarity with market survey submissions, benchmarking data, and job-matching concepts preferred. Excellent attention to detail and accuracy when managing large data volumes. Strong collaboration and communication skills. Ability to work effectively in a fast-paced, global environment. Experience with Power BI, Python, and/or AI tools for reporting, data visualization, or automation is a strong plus. Experience managing EIB files or large data uploads in an HRIS environment a plus. Where we Work We are embracing an office first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person. Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview. BenefitsAs an employee at OneTrust, you will be part of the OneTeam. That means you'll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement
