Design and build analytical models and tools to support workforce planning, operational visibility, and field execution.
Develop iterative solutions that drive immediate value while informing scalable future-state approaches.
Partner closely with field and business stakeholders to understand operational workflows, pain points, and strategic workforce challenges.
Gather input that shapes tool design, analytical models, and planning frameworks, ensuring solutions are grounded in real operational needs.
Develop and refine foundational workforce planning concepts, including capacity trajectory models, staffing frameworks, scenario analyses, and demand/supply visibility tools.
Build and maintain intelligence layers and automated processes, enabling proactive insights, alerting, and improved decision-making.
Collaborate with technical partners to productionize successful prototypes into stable, scalable solutions.
Ensure data quality, consistency, and interpretability across workforce metrics, tools, and processes.
Provide analysis, training, documentation, and ongoing support to business and field stakeholders, empowering teams to leverage workforce insights effectively in their daily operations and planning decisions.
Requirements
Bachelor's Degree Analytics, Statistics, or related quantitative field or equivalent Required
4-6 years Relevant experience in analytics workforce planning, capacity modeling, operations analysis, or similar fields. Required
1-3 years Experience building analytical tools and designing processes that transition from scrappy prototypes to scalable solutions. Required
Ability to write complex SQL queries for data extraction, transformation, and analysis
Python proficiency for automation, data transformation, and tool development
Advanced Excel expertise (PowerQuery, advanced formulas, model design)
Ability to design scalable systems, data structures, or analytical frameworks
Strong analytical problem-solving skills and business acumen with the ability to translate complex business needs into actionable models and tools
Familiarity with common KPIs used in the industry, including conversion metrics, order funnels, Net Promoter Score, price elasticity, workforce management, call center KPIs, etc.
Proficiency in industry-leading BI tools such as Tableau, Power BI, or similar platforms preferred
Knowledge of forecasting techniques and statistical modeling preferred
Experience in workforce/capacity planning, operational modeling, or service operations analytics preferred
Familiarity with operational KPIs and workforce metrics preferred