Analyst, AI & Analytics

Job TitleEducation: Bachelor's degree in a quantitative, technology, analytics, business systems, or related field - or equivalent practical experience.Required Skills: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.Practical experience leveraging modern analytics and AI-enabled tools 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.AI-enabled workflows are grounded, explainable, measurable, secure, and reusable, enabling the team to scale impact without scaling manual work at the same rate.Responsibilities:Apply a product-centric approach to streamline, re-engineer, 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.Only those lawfully authorized to work in the designated country associated with the position will be considered. Please note that all position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.