Program Manager Supply Chain Analytics

Join the Analytics organization at HP Inc. and play a key role in supporting large-scale supply chain transformation and digital initiatives through advanced data analysis and actionable business insights.

The Data Analyst will collect, integrate, analyze, and interpret large and complex datasets to identify trends, data quality gaps, process issues, and improvement opportunities. The role will partner with Supply Chain, Business, IT, and external stakeholders to translate business requirements into analytical solutions, dashboards, KPIs, and data-driven recommendations.

The ideal candidate combines strong SQL, Python, data visualization, data quality, analytical, and problem-solving capabilities with an understanding of supply chain processes and experience working in complex transformation environments.

Key Responsibilities:

• 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.

Business Intelligence, Reporting & Visualization:

• 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.

Data Management & Digital Transformation:

• 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.

Supply Chain & Business Partnership:

• 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.

Skills & Competencies:

Core Data Analytics Skills:

• 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.

Supply Chain & Business Skills:

• Understanding of supply chain, planning, inventory, procurement, manufacturing, supplier, or operations processes.
• Experience analyzing supply chain and operational datasets is strongly preferred.
• Exposure to ERP and enterprise data environments, with SAP knowledge preferred.
• Ability to communicate analytical findings through business narratives, dashboards, and executive presentations.
• Experience working in Agile and cross-functional environments; familiarity with JIRA and TestRail is desirable.
• Strong stakeholder management, communication, prioritization, and attention to detail.
• Exposure to machine learning, Generative AI, or advanced analytics is desirable.

Qualifications & Experience:

• 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.
• Experience using Python for analytics or automation is strongly preferred.
• Experience in supply chain, planning, procurement, manufacturing, or operations analytics is preferred.
• Experience supporting large-scale digital or supply chain transformation initiatives is an advantage.
• 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.
• Relevant certifications in SQL, Python, Power BI, Tableau, Data Analytics, or cloud/data technologies are advantageous.

Complexity:

Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

Skills

Power BI, Python, SQL, Tableau