Senior Workforce Analytics & Modeling Analyst

Role & responsibilities

• 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 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

Preferred candidate profile

Required

• Bachelors degree in analytics, business, finance, economics, information systems, HR,operations, or a related field

• 7+ years of experience in business analytics, data analytics, operational analytics,financial modeling, workforce analytics, or a related field

• Experience building repeatable analytical models and scenario analyses across business,operational, financial, or workforce data

• Advanced SQL skills, including writing, troubleshooting, and validating queries in Snowflake or another relational or cloud data environment; Snowflake-specific experience is not required

• Advanced Power BI skills, including data modeling, report and dashboard development,and data validation

• Advanced Excel skills, including complex formulas, pivot tables, model building, scenario analysis, and data validation

• Ability to quickly learn and apply 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

• Masters 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

• Prior experience applying analytics to workforce planning, headcount, utilization,capacity, labor cost, productivity, or workforce forecasting

• Python experience for predictive analytics or advanced modeling

• 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