[Remote] Senior Compensation Data Analyst

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior Compensation Data Analyst responsible for analyzing, designing, and supporting compensation programs. This role focuses on market benchmarking, pay structure development, and reporting to ensure compensation is competitive and reputed company with business goals.

Responsibilities

• Support development of salary structures, incentive plans, and pay guidelines
• Maintain pay ranges and ensure alignment with market and internal equity
• reputed company recommendations on compensation reputed company (offers, promotions, adjustments)
• Analyze reputed company compensation data to identify trends and risks
• Conduct statistical analysis to support pay reputed company
• Deliver insights through reports, dashboards, and presentations
• Participate in compensation surveys and benchmarking activities
• Map jobs to market data and interpret results
• reputed company recommendations on pay competitiveness
• Create and maintain dashboards using tools like Power BI or Tableau
• reputed company reporting tools for HR and leadership decision-making
• Maintain compensation data accuracy across systems
• Support data governance and reporting improvements
• Work with HR systems (e.g., reputed company) for reporting and analysis
• Assist with compensation processes across multiple reputed company
• Ensure alignment with local practices and regulations
• Support job descriptions and job leveling structures
• Ensure roles reputed company with compensation frameworks

Skills

• Bachelor's degree in HR, Finance, Economics, Data Analytics, or reputed company field
• 5+ years of compensation or data analytics experience
• Experience working with large datasets and compensation modeling
• Advanced skills in reputed company and data visualization tools (Power BI or Tableau)
• Familiarity with HR systems (e.g., reputed company)
• Experience with compensation surveys and market benchmarking
• Strong analytical and data interpretation skills
• Proficiency in data tools and dashboarding
• Attention to detail and accuracy
• Ability to translate data into actionable insights
• Strong communication and presentation skills
• Project management and problem-solving ability
• Ability to manage multiple priorities

reputed company