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Markel is seeking a Sr. People Analytics Data Analyst to join our HR Technology & Analytics team. In this role, the incumbent will serve as a fully competent analytics professional responsible for independently developing and maintaining scalable data solutions that support enterprise people analytics priorities. This role will build and optimize data pipelines that transform Workday data and integrate it with external data sources, design and maintain dashboards relied upon by HR and business partners. This work will be performed primarily in Workday and Microsoft tools.
Key Responsibilities
- Own the design, development, and ongoing maintenance of interactive dashboards and visualizations in Power BI and Workday Prism, ensuring reporting assets remain accurate, user-friendly, and aligned to evolving business needs
- Build, optimize, and maintain scalable data pipelines in Workday and/or external source systems that transform, join, validate, and prepare data for downstream reporting and analytics
- Identify, recommend, and implement automation opportunities that reduce manual reporting effort, improve repeatability, and strengthen operational efficiency
- Build and enhance reports using Workday’s native reporting tools, including discovery boards and worksheets, to support recurring reporting, self-service analytics, and ad hoc business needs
- Lead data validation, reconciliation, and troubleshooting efforts for assigned reporting assets, resolving discrepancies and escalating systemic data quality issues when needed
- Partner with business stakeholders and HR Centers of Excellence to understand reporting requirements and translate them into scalable data solutions
- Document business rules, metrics definitions, and data lineage to support governance and consistency across reporting assets
Qualifications Required
- Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Mathematics, Human Resources, Business Analytics, or a related field, or equivalent practical experience
- 5+ years of experience in data analytics, business intelligence, HR analytics, reporting, or a related analytical discipline
- Hands-on experience designing, building, and maintaining data pipelines or automated workflows using Alteryx or a similar