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Skills
Analysis Skillsunmatched
Artificial Intelligence (AI)unmatched
Automationunmatched
Benchmarkingunmatched
Business Analysisunmatched
Business Intelligenceunmatched
Business Solutionsunmatched
Channel Strategiesunmatched
Compensation Analysisunmatched
Data Analysisunmatched
Data Cleaningunmatched
Data Modelingunmatched
Data Qualityunmatched
Data Scienceunmatched
Decision Supportunmatched
Document Managementunmatched
Documentationunmatched
Establish Prioritiesunmatched
Financial Analysisunmatched
Financial Planningunmatched
HRIS/HRMSunmatched
Human Resources Analyticsunmatched
Payroll Administrationunmatched
Power BIunmatched
Privacy Controlsunmatched
Problem Solving Skillsunmatched
Prototypingunmatched
Python Programming/Scripting Languageunmatched
R Programming Languageunmatched
Reconciliationunmatched
Reengineeringunmatched
Reporting Dashboardsunmatched
Reporting Skillsunmatched
SQL (Structured Query Language)unmatched
Scalable System Developmentunmatched
Scripting (Scripting Languages)unmatched
Stock Administrationunmatched
Systems Administration/Managementunmatched
Systems Analysisunmatched
Training Data Setsunmatched
Use Casesunmatched
Validation Documentationunmatched
Validation Testingunmatched
Workflow Analysisunmatched
Description
JOB DESCRIPTION Analyst, AI & Analytics Executive and Equity Compensation
About the Role
Analytics across various domains is undergoing a fundamental shift, and we are looking for a highly analytical problem-solver to help transform our Executive and Equity Compensation function.
eBay is seeking a curious, hands-on analytics builder with unmatched quantitative problem-solving skills and the curiosity to bring innovative solutions to reality and transform how our Executive and Equity Compensation team produces reporting, develops insights, and supports high-stakes decisions. This role sits at the intersection of data analytics, business analysis, applied AI, automation, and compensation.
You will partner directly with the Director of Executive and Equity Compensation to turn complex and sometimes ambiguous business needs into reliable, scalable analytics products and workflows using AI. You will move from problem definition through prototyping, testing, implementation, and adoption.
You do not necessarily need deep compensation expertise; rather, you need the technical prowess to translate ambiguous business questions into clear AI product workflows and measurable outputs. We are prioritizing problem solving, analytical depth, technical fluency, learning agility, business judgment, and a record of bringing practical solutions to reality in the age of AI.
What You'll Do
Apply a product-centric approach to streamline, re-engineering and automate our recurring monthly, quarterly, and annual reporting, reconciliations, analyses, and decision workflows. This includes evaluating compensation frameworks using quantitative and qualitative data to pinpoint problems and recommend data-backed automated AI solutions.
Design, build, and maintain scalable data models, dynamic dashboards, and reporting solutions for use cases such as benchmarking, scenario analysis, grant and equity reporting.
Apply company approved AI tools and automation to data preparation, classification, reconciliation, anomaly detection, analysis, narrative generation, and ad hoc question answering, with appropriate human review and controls.
Develop AI-enabled workflows, assistants, or agents that are grounded in approved data and documentation and produce reliable, explainable, and useful outputs.
Translate ambiguous business questions into clear problem statements, requirements, prototypes, and measurable outcomes.
Establish data definitions, quality checks, validation controls, documentation, and monitoring to improve trust, auditability, and repeatability.
Create executive-ready visualizations and narratives that turn complex data from Workday, Vizier, and stock administration systems into clear insights, options, and recommendations.
Partner across People Analytics, HR Technology, Stock Administration, Payroll, Data and Engineering, Privacy, Security, and Responsible AI.
Evaluate tools and build-versus-buy options, create reusable operating practices, and handle highly sensitive information with exceptional discretion and accuracy.
What You Bring
3-5 years of relevant experience in either data analytics, business analytics, business systems, data science, finance, consulting, HR analytics, compensation, or a related field. You are a builder and a problem-solver someone who relies on their technical and analytical prowess to scale ideas.
Bachelor's degree in a quantitative, technology, analytics, business systems, or related field - or equivalent practical experience.
Practical experience leveraging modern analytics and AI-enabled tools (e.g., ChatGPT Advanced Data Analysis, Claude Code) to accelerate data cleaning, script writing, and reporting; automate workflows; familiarity with prompt design, structured outputs, orchestration, or evaluation is valuable.
A proven track record of breaking down complex or ambiguous problems and carrying solutions from concept through launch, adoption, and improvement.
Strong proficiency and advanced Excel or Google Sheets strongly preferred; proficiency in SQL Python, R, or another scripting or automation language is a plus but not required
Experience building data models, working with large and complex datasets, implementing validation and reconciliation controls, and creating dashboards in Power BI, or a comparable platform.
Preferred Qualifications
Experience executive compensation, equity compensation, total rewards, people analytics, finance analytics, stock administration, or another adjacent domain.
Business System Analyst experience in the domain of Workday or another HRIS, equity administration platforms
What Success Looks Like
Recurring reports and analyses that are fully automated leveraging AI solutions, documented, and materially less dependent on any manual effort.
Data quality, accuracy, auditability, and confidence improve across reporting and decision support.
Leaders receive faster, clearer, and more actionable insights, with useful self-service capabilities where appropriate.
Numbers & Facts
Location
Salt Lake City, UT
Industry
Other/Not Classified
Company Size
100 to 499 employees
Year Founded
1998
Website
http://www.avaconsulting.com
About Company
AVA Consulting provides the Best Talent to our clients. Our differentiators include: Strong Management team: helping to improve efficiencies. Deep Expertise: truly professional in their approach/delivery. Proven Track Record: worked with organizations of all sizes. Superior Execution: effective processes and well-trained staff. Long term Fulfilling Partnerships: is what we strive for Programs that fit your needs: with a total flexible approach.