Continuous Monitoring Analyst at Leidos, an industry leader in digital and mission innovations. Adapting strategies to outpace competitors while ensuring mission success.
About the role
- Compensation Analyst supporting customers in utilizing Compa’s platform for compensation data. Involves onboarding, data mapping, and delivering customer education with compensation expertise.
Responsibilities
- Partner with new customers to interpret compensation data and map it into Compa’s platform.
- Work cross-functionally with Onboarding Managers and Integrations Engineers to ensure accurate and efficient setup to accelerate customer time-to-value.
- Analyze and validate customer data to troubleshoot issues and ensure accuracy.
- Make light system configuration updates (e.g., mapping fields, updating structures, enabling settings) to optimize efficiency.
- Recommend and implement data updates to improve efficiency and system performance.
- Collaborate with product and support teams to resolve complex data challenges.
- Deliver demos, trainings, and research that explain Compa’s offerings and how they address compensation challenges.
- Identify trends and insights using Compa’s data network.
- Contribute to research, blog posts, guides, and other educational content as needed.
Requirements
- 1 year of experience in compensation total rewards, Human Resource analytics, or People Systems
- Familiarity with compensation benchmarking
- Sound understanding of all elements of compensation (base, incentives, equity) and how they interact
- Strong drive to learn and grow by working hard, seeking feedback, and collaborating effectively with teammates.
- Familiarity with HR technology systems and comfort working with technology systems.
- Strong analytical skills with proficiency in data tools (e.g., Excel, Google Sheets, or similar).
- Excellent written and verbal communication skills, including the ability to explain complex topics clearly.
- Comfort working directly with customers and prospects in both technical and advisory capacities.
- 2+ years of experience in compensation total rewards, Human Resource analytics, or People Systems (Preferred)
- Data analysis and proficiency in advanced data analysis (SQL, Python, etc.) (Preferred)
- Experience creating or contributing to educational content (guides, reports, articles). (Preferred)
- Solid understanding of designing and configuring systems to support engineering teams (Preferred).
Benefits
- Offers equity
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