Program Manager Supply Chain Analytics

Overview

Program Manager, Supply Chain Analytics at HP Inc. Supports large-scale supply chain transformation and digital initiatives through advanced data analysis and actionable business insights.

What you'll do

• Analyze large and complex datasets using SQL, Python, Excel, and other analytical tools to identify trends, patterns, anomalies, and business opportunities.
• Translate complex business problems and supply chain requirements into structured analytical approaches and actionable insights.
• Perform root-cause, variance, and exploratory analysis to identify drivers behind data quality, operational, planning, and process issues.
• Develop analytical models, metrics, and data-driven recommendations to support business and operational decision-making.
• Perform data profiling, validation, reconciliation, and quality analysis across multiple data sources and systems.
• Identify gaps in data completeness, accuracy, consistency, and timeliness and collaborate with business and technology teams to drive resolution.
• Analyze supply chain data across demand, supply, inventory, product, supplier, BOM/master data, and transactional data.
• Automate recurring data analysis, validation, reporting, and monitoring activities using SQL, Python, or related technologies.
• Design, develop, and maintain dashboards, KPIs, scorecards, and analytical reports using Power BI or Tableau.
• Convert complex data into clear visualizations and executive-ready insights that enable timely business decisions.
• Establish scalable metrics and reporting solutions to track data quality, operational performance, trends, and transformation outcomes.
• Partner with stakeholders to define KPIs, reporting requirements, business rules, and data definitions.
• Work with structured data from multiple enterprise systems and support data extraction, transformation, integration, and reconciliation activities.
• Understand data flows and dependencies across source systems, data platforms, analytical layers, and downstream reporting solutions.
• Support enterprise digital transformation initiatives involving SAP platforms such as ARIBA, BTP, IBP, and EBW.
• Participate in solution design, requirements validation, testing, UAT, and deployment of data and analytics solutions.
• Contribute to advanced analytics, machine learning, Generative AI, and intelligent automation opportunities where applicable.
• Support analytics for Supply Chain Planning, including demand and supply planning, product availability, inventory, and operational performance.
• Partner with Supply Chain, Business, IT, Analytics, and external teams to investigate data and process issues and translate findings into business actions.
• Support large-scale supply chain transformation programs through data analysis, KPI tracking, testing, issue resolution, and decision-support analytics.
• Communicate analytical findings clearly to technical and non-technical stakeholders, including senior leadership.
• Manage multiple analytical assignments and deliverables in a global, cross-functional environment.

What you'll need

• 8-12 years of relevant experience in data analytics, business analytics, supply chain analytics, operations analytics, business intelligence, or related roles.
• Demonstrated hands-on experience with SQL, data visualization/BI tools, and large datasets.
• Strong hands-on experience with SQL for querying, joining, aggregating, and analyzing large datasets.
• Proficiency in Python for data analysis, manipulation, validation, and automation.
• Strong experience with Power BI and/or Tableau for dashboard development and data visualization.
• Experience performing root-cause, trend, variance, and exploratory analysis.
• Strong understanding of data quality principles, including completeness, accuracy, consistency, validity, and reconciliation.
• Experience with data modeling, data transformation, ETL concepts, and data integration.
• Advanced Microsoft Excel skills for analysis, reconciliation, and rapid business investigation.
• Ability to convert ambiguous business problems into data requirements, analytical logic, metrics, and insights.
• Understanding of supply chain, planning, inventory, procurement, manufacturing, supplier, or operations processes.
• Bachelor's or Bachelor's + Master's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics, Supply Chain, Operations, Business Analytics, or a related discipline.
• Ability to communicate analytical findings through business narratives, dashboards, and executive presentations.
• Strong stakeholder management, communication, prioritization, and attention to detail.
• Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

Nice to have

• Experience analyzing supply chain and operational datasets.
• Experience using Python for analytics or automation.
• Experience in supply chain, planning, procurement, manufacturing, or operations analytics.
• Experience supporting large-scale digital or supply chain transformation initiatives.
• Exposure to ERP and enterprise data environments, with SAP knowledge.
• Experience working in Agile and cross-functional environments; familiarity with JIRA and TestRail.
• Exposure to machine learning, Generative AI, or advanced analytics.
• Relevant certifications in SQL, Python, Power BI, Tableau, Data Analytics, or cloud/data technologies.

Details

• Location: Bengaluru, Karnataka, India.
• Employment type: Full time.
• Shift: No shift premium (India).