Forecasting & Capacity Planning Analyst (Warehouse)

Gifthealth Inc•Columbus, OH

4d•$90,000 - $100,000•Onsite

About The Position

At Gifthealth, we're revolutionizing the way people experience healthcare by simplifying the process of managing prescriptions and health services. Our mission is to provide a seamless, personalized, and efficient healthcare experience for all our customers. We're a dynamic, innovative, and customer-centric company dedicated to making a positive impact on people's lives. We are seeking a Forecasting & Capacity Planning Analyst to develop, maintain, and continuously improve demand forecasting models and operational capacity plans across Gifthealth’s fulfillment and clinical operations. This position plays a key role in supporting the Operations, Supply Chain, and Clinical Services teams, ensuring alignment with organizational growth goals, service-level commitments, operational excellence, and regulatory compliance standards.

Requirements

Bachelor’s degree in Supply Chain Management, Industrial Engineering, Operations Research, Statistics, Applied Mathematics, or a related quantitative field (Required)
3+ years of experience in demand planning, capacity planning, supply chain analytics, or operations analysis, ideally within healthcare, specialty pharmacy, or a high-growth direct-to-patient environment (Required)
Proficiency in statistical forecasting methods, including exponential smoothing, ARIMA, regression-based models, and machine learning approaches (Required)
Advanced skills in data analysis tools including SQL, Python, or R for model development and data manipulation (Required)
Experience with business intelligence and visualization platforms such as Tableau, Looker, or Power BI (Required)
Working knowledge of ERP, WMS, or pharmacy management systems and their data structures (Required)
Strong proficiency in Microsoft Excel for ad hoc analysis, scenario modeling, and stakeholder reporting (Required)
Familiarity with S&OP methodologies and integrated business planning frameworks (Required)
Proven ability to translate complex analytical outputs into clear, actionable insights for non-technical stakeholders (Required)
Excellent communication, presentation, and data-driven decision-making skills (Required)
Strong cross-functional collaboration skills; comfortable operating in a fast-paced, matrixed organization (Required)
Highly organized and detail-oriented, with the ability to manage multiple projects and deadlines simultaneously (Required)
Comfortable challenging assumptions and presenting data-backed recommendations to senior leadership (Required)
Strong sense of ownership and accountability for forecast quality and planning outcomes (Required)

Nice To Haves

Master’s degree (MBA, MS) preferred.
APICS CPIM, CSCP, or equivalent supply chain/planning certification (Preferred).
Experience in a regulated industry such as healthcare, pharmacy, or life sciences (Preferred)
Familiarity with GxP compliance considerations or URAC/ACHC accreditation standards (Preferred)
Demonstrated application of continuous improvement methodologies, such as Lean or Six Sigma, to planning processes (Preferred)
Intellectually curious, with a bias toward automation and scalable solutions over manual workarounds (Preferred)
Self-starter who thrives in ambiguous, high-growth environments and can build structure from scratch (Preferred)

Responsibilities

Develop and maintain statistical demand forecasting models using historical dispensing data, patient enrollment trends, seasonality, and external market signals to inform short-, mid-, and long-range capacity plans.
Translate forecast outputs into actionable staffing, inventory, and throughput recommendations for pharmacy operations, clinical support, and last-mile logistics functions.
Collaborate cross-functionally with Operations, Clinical Services, Supply Chain, Finance, and Product teams to align forecasts with business objectives, new program launches, and patient volume growth.
Monitor key performance indicators (KPIs) such as forecast accuracy (MAPE/WMAPE), fill rates, cycle times, and capacity utilization; identify variances and drive root-cause analyses.
Build and maintain capacity models that account for headcount, equipment, facility constraints, and vendor lead times to support scenario planning and contingency strategies.
Support the Sales & Operations Planning (S&OP) process by preparing regular forecast reports and presenting insights to senior leadership.
Partner with the Data & Analytics team to automate data pipelines, enhance reporting infrastructure, and evolve forecasting tooling.
Identify systemic inefficiencies in current planning processes and champion continuous improvement initiatives aligned with lean operational principles.
Maintain documentation of forecasting methodologies, assumptions, and model performance for audit readiness and knowledge transfer.
Support ad hoc analyses and special projects related to network expansion, new therapeutic area launches, or technology implementations.