Sr. Analyst, Statistical Forecast & Accuracy

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. Position Summary The Sr. Analyst, Statistical Forecast & Accuracy is an individual contributor within the Demand Planning team, reporting directly to the Consensus Demand Planning Lead. This role is the technical authority for the statistical forecast that underlies the consensus plan. The Sr. Analyst is accountable for ensuring the system produces a reliable, accurate baseline forecast across portfolios, and governing forecast performance over time. This role intervenes when the engine produces outputs that do not reflect reality, manages model parameters and bias across portfolios, and drives the continuous improvement discipline that makes the consensus forecast credible and defensible. This is a technical role that requires deep proficiency in statistical forecasting methods, hands-on expertise in Kinaxis Maestro, and the judgment to distinguish a model problem from a demand reality problem. The Sr. Analyst must be able to translate statistical findings into clear, actionable guidance for the Consensus Demand Planning Lead. Key Responsibilities Statistical Forecasting & Model Governance Own the configuration and maintenance of statistical forecast parameters in Kinaxis Maestro, including model selection and parameter tuning. history cleansing disciplines prior to each forecast cycle, adjusting for outliers, customer losses, NDC switches, and new product launches to ensure the statistical baseline reflects true underlying demand patterns. Intervene directly when the system produces outputs that are wrong: update model parameters, alter model selection, and document the rationale for every change so that interventions are traceable and auditable. Serve as the primary point of contact for the COE on statistical forecast configuration, parameter governance, and planning engine integrity questions. Forecast Accuracy & Bias Management Own the forecast accuracy and bias measurement framework across all portfolios, tracking MAPE, bias, and error metrics at the appropriate level of granularity to surface actionable insights rather than just headline numbers. Conduct structured root cause analysis on forecast misses, distinguishing between model failure, enrichment failure, and genuine demand variability, and communicating findings clearly to the Consensus Demand Planning Lead and Channel Leads. Identify and flag systematic bias in the statistical forecast, whether directional over- or under-forecasting by product type, channel, or time horizon, and drive model adjustments to correct it. Maintain a continuous improvement cadence, tracking accuracy trend over time and holding the team accountable to improving against a defined baseline as the system matures and data quality improves. Partner with Channel Leads to determine whether a forecast miss originated in the statistical baseline or in enrichment inputs, and prepare forecast performance reporting for S&OP reviews facilitated by the COE, ensuring accuracy findings are visible to cross-functional participants and tied to operational implications for supply and inventory. Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's degree in Supply Chain, Statistics, Data Science, Mathematics, or a related quantitative field strongly preferred or equivalent experience. Critical Skills 7+ years in demand planning,…

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