Senior Compensation Analyst

Senior Compensation Analyst Location(s): Atlanta: 2300 Windy Ridge Pkwy SE, Suite 750, Atlanta, GA 30339 La Vista: 12325 Port Grace Blvd, La Vista, NE 68128 Oakdale: 7755 3rd St. N, Oakdale, MN 55128 Scottsdale: 18700 N Hayden Rd, Suite 255, Scottsdale, AZ 85255 St. Petersburg: 877 Executive Center Dr. W, Suite 300, St. Petersburg, FL 33702 Osaic is not considering remote candidates at this time. Osaic has returned to the office on a hybrid schedule requiring a minimum of 4 days weekly in the office. Applicants must be located at one of our hubs listed above and be willing to work this schedule. Job Details Role Type: Full-time, Exempt Salary: $100,000 - $125,000 per year + annual performance-based bonus Actual compensation offered will be determined individually, based on several job-related factors, including location, skills, licensure, experience, and education. Benefits include health, vision, dental insurance, 401(k), paid time off, volunteer days, and more. Summary The Senior Compensation Analyst is a highly influential individual contributor responsible for advancing the organization's compensation capabilities, analytics, and infrastructure. This role will play a critical part in stabilizing and modernizing compensation practices, with an immediate focus on data integrity, job architecture refinement, and scalable analytics. Operating in a fast-evolving environment, this role will partner closely with the VP of Total Rewards and Compensation Manager to build foundational and advanced capabilities across compensation programs. The ideal candidate brings strong technical expertise in Workday, advanced Excel modeling, and data visualization, along with a builder mindset and the ability to operate effectively in ambiguity. This role will also help shape the organization's early-stage approach to AI-enabled compensation analytics and reporting. Responsibilities Compensation Program Execution & Advisory Serve as a trusted advisor to HR Business Partners and business leaders on offers, promotions, market adjustments, and pay decisions Provide practical, data-informed recommendations in a fast-moving, evolving environment Job Architecture & Benchmarking Partner in the validation, refinement, and ongoing management of job architecture based on the McLagan framework Review and update job descriptions, job profiles, leveling, and job family assignments Conduct job evaluations, including FLSA classification and leveling alignment Benchmark roles using survey data and market intelligence to ensure external competitiveness Data Cleanup, Integrity & Infrastructure Lead efforts to assess, clean, and standardize compensation and job data within Workday Identify data gaps, inconsistencies, and risks, and implement practical solutions to improve data quality Establish repeatable processes and governance for maintaining high-quality compensation data Partner with HRIS to improve system structure, data flows, and usability Advanced Analytics & Reporting Transformation Build and enhance compensation reporting using advanced Excel and Workday reporting capabilities Develop scalable dashboards and visualizations (e.g., Power BI) to support decision-making Transition reporting from manual and reactive to automated and insight-driven Deliver actionable insights on trends such as pay equity, compression, retention risk, and market positioning Annual Compensation Processes Lead execution of the annual merit and bonus planning cycles Build models, tools, and reporting to support effective planning and budget alignment Partner with Finance and HR to ensure alignment between compensation decisions and financial targets Incentive Plan Support Support design, modeling, and administration of incentive plans, including collaboration with Finance and Sales leadership Assist in documentation and communication of plan designs Innovation, Automation & AI Enablement Identify opportunities to streamline and automate compensation processes using analytics, tools, and emerging technologies Begin introducing and shaping the use of AI in compensation analytics, reporting, and process efficiency Partner with leadership to explore practical, scalable applications of AI in Total Rewards Drive a mindset of continuous improvement and modernization Documentation & Enablement Create clear, structured documentation for compensation programs, processes, and tools Support training and enablement of HR partners and leaders Basic Requirements Bachelor's degree in Human Resources, Finance, Data Analytics, or related field 7+ years of progressive compensation experience Strong experience with job architecture, job leveling, and benchmarking Demonstrated experience with annual merit and bonus cycles Advanced proficiency in Excel (complex modeling, data manipulation, scenario analysis) Hands‑on experience with Workday Compensation and reporting (beyond standard report running) Ability to work effectively in ambiguous, evolving environments Strong analytical, problem-solving, and stakeholder communication skills Preferred Qualifications Experience with Power BI or other data visualization tools Exposure to data cleanup, transformation, or system optimization efforts Early experience with or strong interest in AI tools and applications in HR/Compensation CCP certification Experience working within a McLagan framework or similar job architecture models #J-18808-Ljbffr