Compensation Analyst

Job not on LinkedIn

🔥 2 hours ago

🇺🇸 United States – Remote

💵 $73.5k - $132.8k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧐 Analyst

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👻 Ghost score 0%

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Leidos

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1969

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Leidos is a leading systems integrator in science, technology, and engineering, providing solutions that transform and enable the missions of its customers. The company operates across various markets, including aviation, defense, energy, government, healthcare, intelligence, science, and space. Leidos is involved in AI, digital modernization, cyber operations, and integrated and mission software systems. With a commitment to diversity, equity, inclusion, and sustainability, Leidos also engages in charitable efforts and community enrichment programs. Additionally, it contributes to developing solutions for counter-unmanned aerial systems and electric vehicle infrastructure for military applications.

📋 Description

• Provide cross-organizational compensation support across the Leidos enterprise • Partner with Total Rewards Partners and HR stakeholders to provide compensation guidance and recommendations • Support multiple Sectors and Functions while balancing business needs with enterprise compensation practices and internal equity • Independently evaluate and approve promotions, job changes, salary adjustments, and other compensation actions • Evaluate and approve bonus and incentive payments for compliance, reasonableness, internal consistency, and program requirements • Evaluate jobs and employee responsibilities to support job family, career level, FLSA classification, and compensation determinations • Conduct market pricing and compensation analyses using salary survey data and internal employee data • Develop compensation models, analyses, dashboards, and recurring and ad hoc reporting • Support annual compensation programs and enterprise-wide compensation projects, including analysis, system testing, reporting, implementation, and ongoing process support • Identify trends, recurring issues, and opportunities to improve compensation processes, controls, tools, and reporting • Contribute to operational excellence, continuous improvement, and customer service within the Compensation function • Perform other duties as assigned in support of enterprise goals

🎯 Requirements

• Bachelor’s degree from an accredited university and 4+ years of relevant experience in Compensation, Human Resources, or a related field; additional relevant experience may be considered in lieu of a degree • Demonstrated knowledge of compensation principles and practices, including base pay, job evaluation, market pricing, salary structures, and incentive compensation • Working knowledge of FLSA requirements and experience evaluating exempt and nonexempt classifications • Advanced Microsoft Excel skills, including experience analyzing large data sets, developing models, and utilizing advanced formulas, lookups, pivot tables, and other analytical functionality • Experience developing dashboards, reports, or data visualizations to identify trends and communicate meaningful business insights • Strong analytical and problem-solving skills with demonstrated ability to exercise independent judgment and develop recommendations • Strong written and verbal communication skills, including the ability to translate compensation concepts and complex data into clear, concise information for HR and business stakeholders • Demonstrated attention to detail and ability to identify inconsistencies, risks, and data quality issues • Ability to independently manage multiple priorities and work effectively in a fast-paced, matrixed environment • Proficiency with Microsoft Office applications, including Excel, PowerPoint, and Word • Preferred: Experience with Workday Compensation and Workday Advanced Compensation • Preferred: Experience with compensation survey and market-pricing platforms • Preferred: Experience with Power BI or similar dashboard and data visualization tools • Preferred: Experience supporting large, complex, geographically dispersed, or matrixed organizations • Preferred: Experience in the government contracting industry