Analyst, AI & Analytics

Temporary full-time role based in Draper, UT (hybrid: 1–2 days onsite per week). Estimated duration: 12 months. Hourly rate: $50.00–$56.00.

About the role

Bachelor’s degree in a quantitative, technology, analytics, business systems, or related field—or equivalent practical experience. You are a builder and problem-solver who relies on technical and analytical prowess to scale ideas.

Responsibilities

• Apply a product-centric approach to streamline, re-engineer, and automate recurring monthly, quarterly, and annual reporting, reconciliations, analyses, and decision workflows.
• Evaluate 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 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 grounded in approved data and documentation that 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.

Requirements

• 3–5 years of relevant experience in data analytics, business analytics, business systems, data science, finance, consulting, HR analytics, compensation, or a related field.
• Practical experience leveraging modern analytics and AI-enabled tools (e.g., ChatGPT Advanced Data Analysis, Claude Code) to accelerate data cleaning, script writing, reporting, and workflow automation; familiarity with prompt design, structured outputs, orchestration, or evaluation is valuable.
• 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; proficiency in SQL, Python, R, or another scripting or automation language is a plus.
• 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 in executive compensation, equity compensation, total rewards, People Analytics, finance analytics, stock administration, or an adjacent domain.
• Business System Analyst experience in 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 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.
• AI-enabled workflows are grounded, explainable, measurable, secure, and reusable, enabling the team to scale impact without scaling manual work at the same rate.