Hybrid Global Compensation Analyst

Hewlett Packard Enterprise Software

Tlaquepaque

Hybrid

MXN 500,000 - 700,000

Full time

3 days ago

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Job summary

Hewlett Packard Enterprise is seeking a Compensation Advisor to join our Hybrid workplace, working 2 days per week from an HPE office in Mexico. The role supports global COE programs, conducts market pricing, and drives data-driven compensation decisions.

You will analyze external data from Radford, Mercer, WTW, and others, help shape job architecture, and advance AI-enabled workflows across compensation processes. A degree in a related field and at least two years of experience are expected.

Qualifications

Bachelor’s degree in Human Resources, Business Administration, Finance, Economics, Data Analytics, or a related discipline.
Strong Microsoft Excel skills, including organizing, analyzing, validating, and summarizing compensation data.
Experience analyzing and summarizing reports and large datasets.
Strong written and verbal communication skills.
Ability to manage multiple priorities in a fast-paced environment.
Experience using AI and automation tools, such as Microsoft Copilot, Power Automate, Power BI, or similar technologies, to improve business processes, automate workflows, analyze data, or support digital transformation.
Preferred knowledge of Workday Compensation and Job Architecture modules or comparable HR technology platforms.

Responsibilities

Support the administration of global Compensation COE programs in alignment with HPE’s compensation philosophy and governance standards.
Deliver accurate, timely, and data-driven analyses and recommendations that support effective compensation decisions.
Participate in global compensation surveys and support end-to-end market-pricing activities, including job matching, data submission, result validation, and analysis.
Analyze external compensation data from survey providers such as Radford, Mercer, WTW, and other global industry sources.
Conduct benchmarking analyses and recommend salary range adjustments based on market movement, internal alignment, and evolving talent demand.
Support the maintenance and evolution of HPE’s job architecture framework by reviewing job profiles, organizational changes, and market developments that may require framework updates.
Assist with job evaluations, job profile development, leveling assessments, and job family governance.
Partner with Business Compensation Consulting and business stakeholders to ensure accurate job classification and market alignment.
Support workforce transformation initiatives involving skills-based talent and AI-enabled work design.
Support annual salary increase planning by preparing budget assumptions, consolidating inputs, and analyzing proposed allocations.
Maintain and evaluate geographic pay practices, including market-based pay zones, location-specific salary structures, and geographic pay differentials.
Administer supplemental pay programs and provide guidance on eligibility, application, and program requirements.
Support pay compliance reviews by monitoring regulatory requirements, validating program practices, and maintaining accurate documentation.
Maintain compensation reports, dashboards, and analytics.
Assist with audits, documentation, and governance reviews.
Ensure compliance with applicable federal, state, and global compensation regulations.
Identify opportunities to automate repetitive compensation activities, simplify workflows, and reduce manual effort and cycle time across key compensation processes.
Build and maintain AI-enabled compensation solutions using technologies such as Microsoft Copilot, Power Platform, Power Automate, AI agents, analytics platforms, or similar tools.
Develop scalable tools, dashboards, and workflows that enhance decision-making and user experience.
Develop reusable prompts, templates, process documentation, and workflow automations to improve operational efficiency.
Establish controls and validation processes to ensure AI output remains accurate, compliant, and auditable.
Measure and communicate business impact through productivity gains, reduced cycle time, improved data quality, and enhanced user experience.