Advanced Demand Analytics Lead

Description

The role sits in the Innovative Medicine Supply Chain at the company, within global demand planning.

The position is onsite or hybrid and is open in several countries under separate requisition numbers, including Titusville, NJ, United States (R-107661) and Switzerland (R-108528). Applications to any of them are treated as one submission.

The job is based in Zug, Switzerland.

The company develops medicines and medical technology and works with patients and science-based teams to bring treatments from lab to patients.

Responsibilities

• Own the design, running, governance and ongoing improvement of assigned global demand analytics reports, dashboards, metrics and self-service tools.
• Lead investigations into complex data, system and reporting problems, find root causes, coordinate fixes across teams and put lasting controls in place.
• Turn business questions and planning needs into scalable analytical requirements, data definitions, visuals and decision-support tools.
• Lead reporting and process-improvement projects with Global Planning Excellence (GPEx), technology teams and other partners, from requirements through testing, rollout, adoption and stabilization.
• Work with Regional Demand & Supply (RD&S) leaders and planners to set priorities for current and future reporting, align solutions across regions and help drive global standards.
• Own the end-to-end demand planning process for an assigned global brand or a similarly complex portfolio, and analyse forecast changes, assumptions, risks, opportunities and scenarios looking ahead.
• Lead advanced statistical forecasting work, assess model performance, recommend improvements and encourage sound use of statistical forecasts and exception-based planning.
• Set reporting standards, controls, documentation and communication practices that improve data quality, consistency, timeliness and user experience.
• Create and deliver training, run working sessions and advise planners and business partners on analytics tools, metrics and processes.
• Lead projects or workstreams, manage priorities and timelines, anticipate risks and dependencies, and share recommendations and decisions with functional leaders.
• Coach analysts and project contributors, review their work and share reusable methods and guidelines. This role has no formal people-management responsibility.
• Assess emerging analytics, automation, machine learning and generative AI tools and recommend practical uses that improve demand planning.

Requirements

• Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, Supply Chain, Business or a related field.
• 6+ years of related experience in analytics, reporting, data visualization, forecasting, supply chain planning or a comparable business setting.
• Advanced skill in at least one programming or query language such as Python, R or SQL, in visualization tools such as Power BI or Tableau, and in relevant data models or databases.
• Proven experience leading complex analytical projects or workstreams across global, cross-functional and highly matrixed teams.
• Solid grasp of data quality, metric design, reporting governance, requirements definition, testing, deployment and adoption.
• Ability to turn complex analyses into clear insights, recommendations and communications for business and functional leaders.
• Strong skills in business partner management, facilitation, influence and problem solving, and the ability to represent the team independently.
• Optional: a Master's degree or equivalent experience in Mathematics, Statistics, Engineering, Computer Science, Supply Chain, Business or a related field. A Six Sigma, Lean, Supply Chain or Project Management certification is preferred.
• Optional: experience with demand planning and enterprise platforms such as OMP, SAP or Anaplan.
• Optional: end-to-end supply chain knowledge and experience with forecast accuracy, bias, forecast value add, demand segmentation or related planning metrics.
• Optional: knowledge of machine learning and generative AI concepts, and experience turning new capabilities into practical business solutions.
• English proficiency is required.
• Up to 10% international travel may be required.
• Required skills: AI Judgement Integration, Analytical Reasoning, Business Intelligence (BI), Business Savvy, Coaching, Communication, Data Analysis, Data Savvy, Demand Forecasting, Demand Planning, Inventory Optimization, Manufacturing Flow Management, Marketing Functions, Predictive Modeling, Problem Solving, Process Improvements, Statistics, Supply Planning

Conditions

Onsite or hybrid work, with the location tied to the requisition country.

Up to 10% international travel may be required.

The company is an equal opportunity employer and considers applicants without regard to protected characteristics.