Compensation and HR Analytics Analyst

What you'll do

• Support and administer Smartly's global compensation programs, including market pricing, offers, promotions, internal moves, job evaluations, and annual compensation cycles
• Manage salary survey participation, compensation reporting, and analyses that support business decisions
• Analyze internal and external compensation data to provide recommendations that support equitable, competitive and consistent pay decisions
• Partner with HRBPs, Talent Acquisition, Finance, and business leaders to support compensation-related decisions and guidance
• Maintain and continuously improve Smartly's compensation infrastructure, including Workday compensation configuration, salary structures, and the global job architecture
• Build and maintain dashboards, reports, and workforce analyses that support compensation and broader People decisions
• Analyze workforce and compensation data to identify trends, gaps, and inconsistencies, and recommend actions
• Validate and audit HR data, identifying data quality issues and resolving them proactively
• Improve reporting processes by standardizing outputs, increasing efficiency, and reducing manual work
• Explore and implement innovative approaches—including AI, automation, and analytics—to improve how the People team works, enabling more scalable, data-informed decision making across the employee lifecycle
• Improve data models, reporting structures, and analytics processes over time

Requirements

• Minimum of 2 years of experience in compensation, people analytics, HRIS, workforce analytics, or a similar analytical role
• Strong analytical skills with advanced Excel or Google Sheets experience and confidence working with large datasets
• Experience building dashboards or data visualizations using BI tools (e.g., Tableau, Power BI, Looker)
• Strong analytical and problem-solving skills with attention to detail
• Ability to translate data into clear insights and recommendations
• Ability to work independently on well-defined problems and manage priorities
• Naturally curious, with a continuous improvement mindset and an interest in simplifying processes through automation, AI, and better ways of working
• Strong communication skills with the ability to explain analytical concepts to both technical and non-technical audiences
• Comfortable working with sensitive data and maintaining confidentiality
• Nice to have: Experience with Workday (Core HCM and/or Compensation)
• Nice to have: Experience supporting compensation programs such as salary benchmarking, market pricing, salary reviews, or pay equity analyses
• Nice to have: Experience using SQL, Python, or similar tools to query, automate, or analyze data
• Nice to have: Experience with AI tools to improve reporting, analysis, or operational efficiency

Tech stack

Benefits