Advanced Demand Analytics Lead

About the role

Johnson & Johnson is looking for an Advanced Demand Analytics Lead to join its Innovative Medicine Supply Chain team in Zug, Switzerland. The role provides advanced analytical leadership for global demand planning, owns key reporting and dashboard capabilities, leads cross-functional improvement initiatives and acts as a trusted subject-matter expert to the global planning community. It is an onsite/hybrid position.

Key responsibilities

• Own the design, execution, governance and continuous improvement of global demand analytics reports, dashboards, metrics and self-service capabilities.
• Investigate complex data, system and reporting issues, find root causes, coordinate cross-functional resolutions and implement sustainable controls.
• Translate business questions and planning needs into scalable analytical requirements, data definitions, visualizations and decision-support solutions.
• Lead reporting and process-improvement initiatives with Global Planning Excellence, technology teams and partners, from requirements through testing, deployment and adoption.
• Partner with regional demand and supply leaders to prioritize reporting needs, align solutions across regions and influence adoption of global standards.
• Own the end-to-end demand planning process for an assigned global brand or complex portfolio, including forecast change analysis, assumptions, risks, opportunities and scenarios.
• Lead advanced statistical forecasting, evaluate model performance, recommend improvements and promote the use of statistical forecasts and exception-based planning.
• Establish reporting standards, controls, documentation and communication approaches that improve data quality, consistency and timeliness.
• Train planners and business partners, coach analysts and project contributors, and lead projects or workstreams.
• Evaluate emerging analytics, automation, machine learning and generative AI capabilities and recommend practical applications.

Required profile

• 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 environment.
• Demonstrated experience leading complex analytical projects across global, cross-functional and matrixed teams.
• Strong understanding of data quality, metric design, reporting governance, testing, deployment and adoption.
• Ability to turn complex analyses into clear insights and recommendations for business and functional leaders.
• Preferred: Master's degree, Six Sigma, Lean, Supply Chain or Project Management certification, and end-to-end supply chain knowledge.
• English proficiency required; up to 10% international travel may be needed.

Required skills

• Programming or query languages such as Python, R or SQL.
• Data visualization tools such as Power BI or Tableau.
• Experience with demand planning platforms such as OMP, SAP or Anaplan is preferred.
• Knowledge of machine learning and generative AI concepts is preferred.