Senior Workforce Analytics/Modeling Analyst

About the Role

The Senior Workforce Analytics & Modeling Analyst builds repeatable models, analytics, reports, and dashboards that connect workforce, operational, and financial data to support staffing, utilization, productivity, and labor cost decisions. This role partners closely with business stakeholders to understand needs, clarify requirements, translate broad questions into structured analytical solutions, and develop models and reports that support clear, data-informed decision making. The role also improves data quality, reporting reliability, and the systems and processes that support workforce decision making. The ideal candidate brings strong modeling capability, advanced Excel and Power BI skills, workforce metrics fluency, and the ability to work independently in a fast-paced, remote environment with U.S.-based stakeholders. This person should be comfortable moving beyond reporting to build scalable solutions, test hypotheses, evaluate trade-offs, and translate complex workforce, operational, and financial data into clear options, implications, risks, and recommendations.

Responsibilities

• Workforce and Business Modeling
• Partner with business stakeholders to understand needs, clarify requirements, and translate requests into models, reports, dashboards, and decision-ready analysis
• Build, document, and maintain repeatable models that connect revenue, labor cost, headcount, utilization, capacity, and workforce productivity
• Translate business questions into assumptions, scenarios, implications, and recommendation options related to staffing, productivity, and cost
• Analyze how business performance impacts hiring needs, workforce efficiency, and cost actions
• Synthesize model outputs into decision-ready materials that clearly outline key findings, trade-offs, risks, and actions for leadership review

Workforce Analytics, Reporting, and Insight

• Apply strong understanding of workforce metrics such as headcount, turnover, labor cost, utilization, capacity, and productivity
• Build and improve recurring reporting, dashboards, and self-service tools in Power BI and Excel
• Validate datasets, calculations, and outputs to ensure reporting is accurate, consistent, and trusted
• Connect workforce, operational, and business data to identify risks, trends, and decision-making opportunities
• Distill complex analyses into clear, executive-friendly summaries, presentations, and recommendations that support decision making

System, Process, and Quality Ownership

• Own recurring analytics, reporting, and supporting workflows end to end with limited oversight
• Independently investigate data, system, and workflow issues by identifying root causes, testing assumptions, evaluating solution paths, and resolving problems where possible
• Use sound judgment to determine when leadership input, stakeholder alignment, or formal escalation is needed; when escalating, provide evidence, actions already taken, options considered, and a recommended next step
• Apply strong attention to detail and quality control practices to ensure models, reports, dashboards, documentation, and recurring outputs are accurate, consistent, and stakeholder-ready
• Proactively identify system and process design improvements and scalable solutions that increase efficiency, reporting reliability, and operational effectiveness
• Create and maintain documentation for models, processes, reporting logic, and standard operating procedures

Automation and AI Enablement

• Use automation and AI-enabled tools to reduce manual work and improve reporting efficiency
• Identify opportunities to streamline recurring analytical and operational workflows
• Apply AI appropriately in areas such as documentation, issue triage, process mapping, and insight summarization
• Help improve how analytics and reporting work is produced, maintained, and scaled

Your Role On The Team

• Serve as a self-directed analytical partner who can move work forward independently while staying aligned with U.S.-based stakeholders and leadership priorities
• Take ownership of complex workforce, reporting, and modeling questions from intake through analysis, resolution, and communication of outcomes
• Bring leadership practical solution options, trade-offs, and recommendations while identifying more scalable ways for the team to approach recurring work
• Escalate thoughtfully when needed by clearly summarizing what was requested, what was tried, what was learned, what remains blocked, and what decision or support is needed

Qualifications

Required

• Bachelor’s degree in analytics, business, finance, economics, information systems, HR, operations, or a related field
• 7+ years of experience in workforce analytics, business analytics, operational analytics, financial modeling, or a related field
• Experience building repeatable models for headcount planning, utilization, capacity, labor cost, and workforce forecasting
• Advanced Excel and Power BI skills, including model building, scenario analysis, data modeling, dashboard development, and data validation
• Strong understanding of workforce and HR metrics, including headcount, labor cost, turnover, hiring, utilization, capacity, and productivity
• Ability to work with business stakeholders to understand needs, translate requirements into models and reports, and generate actionable insights and recommendations
• Experience improving reporting and analytical workflows through automation, AI-enabled tools, process design, and documentation
• Strong attention to detail and commitment to producing accurate, reliable, and high-quality analytical outputs, reporting, documentation, and stakeholder-ready materials
• Strong business writing, presentation, communication, and organizational skills
• Proven ability to think critically, solve ambiguous problems independently, identify root causes, test solutions, evaluate trade-offs, and determine when escalation is needed
• Ability to translate complex analysis into clear, actionable, leadership-ready recommendations, including options, trade-offs, risks, and implications
• Strong intellectual curiosity and resourcefulness; proactively seeks answers through analysis, documentation, systems, and cross-functional context
• Expert-level English fluency and availability to work during U.S. business hours across mainland U.S. time zones

Preferred

• Master’s degree in analytics, business, finance, human resources, operations, data science, or a related field
• Relevant certifications in analytics, business intelligence, data visualization, process improvement, or project management
• Experience in professional services, consulting, managed services, staffing, or another labor-driven business model
• Experience using AI tools to improve reporting, workflow efficiency, or analytical processes
• Demonstrated success working with remote or internationally distributed teams supporting U.S.-based stakeholders, with high ownership, strong independent judgment, and proactive problem solving