Senior Compensation Systems and Data Analyst

Based in Louisville, KY with remote work flexibility, the Senior Compensation Systems and Data Analyst at ScionHealth Corporate Support Center manages compensation systems, job-architecture data, market pricing infrastructure, and related analytics to support decision-making across the employee lifecycle.

Responsibilities

• Oversees the configuration, governance, and day-to-day operation of compensation systems, including workflows, user access, and supporting procedures.
• Supports the management of market pricing platforms, handling survey imports, pricing updates, survey matching, and maintenance of pricing files.
• Conducts audits, reconciliations, and validation of compensation, job-related, and employee data across multiple systems and reports.
• Maintains core job architecture attributes such as job codes, SOC codes, FLSA status, job family, sub-category, geographic differentials, and eligibility indicators.
• Identifies data quality issues, investigates root causes, recommends corrective actions, and supports ongoing improvements in data governance.
• Develops, maintains, and refreshes recurring compensation reports, dashboards, lookup tools, and data models.
• Converts complex data into clear, actionable recommendations for a range of stakeholder audiences.
• Delivers deep-dive analyses and actionable insights that inform strategic and operational decisions.
• Provides analytical support across compensation and broader people-related topics such as hiring, retention, engagement, and internal mobility.
• Translates complex data into concise findings, practical recommendations, and decision-support materials for diverse audiences.
• Documents processes, supports standardization, and contributes to operational efficiency and audit readiness.
• Develops materials and deliverables to assist business owners in understanding and executing compensation processes.

Requirements

• Minimum 5 years of relevant experience.
• Bachelor’s degree in Human Resources, Business, Finance, Analytics, Information Systems, or a related field.
• Strong analytical and problem-solving skills with the ability to work with large, complex datasets.
• Strong attention to detail and commitment to data accuracy, validation, and process consistency.
• Ability to identify trends, issues, and opportunities within data and translate them into actionable insights.
• Ability to communicate technical or analytical information clearly to both technical and non-technical audiences.
• Strong organizational skills with the ability to manage multiple priorities and deadlines.
• Ability to work independently while collaborating effectively with cross-functional partners.
• Process-oriented with a focus on documentation, control, and continuous improvement.
• Advanced proficiency in Microsoft Excel required; Power Query experience preferred.
• Experience with reporting, dashboard, or analytical tools such as Python or similar preferred.
• Experience with HRIS and compensation systems preferred.

Technologies

• Microsoft Excel
• Power Query
• Python
• HRIS