Business Intelligence (Advanced Analytics Developer)

We're seeking a curious, hands-on analytics builder with strong quantitative problem-solving skills to transform how we produce reporting, develop insights, and support high-stakes decisions in our Executive and Equity Compensation function. This role sits at the intersection of data analytics, business analysis, applied AI, automation, and compensation, partnering directly with the Director of Executive and Equity Compensation.

About the role

Turn ambiguous business needs into reliable, scalable analytics products using AI. Deep compensation expertise isn't required — we prioritize problem-solving, technical fluency, learning agility, and a proven track record of bringing practical solutions to reality in the age of AI.

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 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 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.
• 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.
• Proven track record of breaking down complex or ambiguous problems and carrying solutions from concept through launch, adoption, and improvement.
• Strong proficiency in advanced Excel or Google Sheets strongly preferred; proficiency in SQL, Python, R, or another scripting/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 in executive compensation, equity compensation, total rewards, people analytics, finance analytics, stock administration, or another adjacent domain.
• Business Systems Analyst experience with Workday or another HRIS, equity administration platforms.

Benefits

Solomon Page offers a comprehensive benefit program for hourly employees, including medical, dental, 401(k), direct deposit, and commuter benefits.

Pay

$50/hr on W2 to $55/hr on W2.