Program Manager Supply Chain Analytics

HP Global Services; Bengaluru; Sur place; INR 1 800 000 - 2 400 000; Plein temps

Résumé du poste

HP Inc. is seeking a Program Manager for Supply Chain Analytics in Bengaluru to transform data into actionable insights.

The role emphasizes SQL, Python, and BI tools to build dashboards, KPIs, and reports that guide transformation initiatives across demand, supply, inventory, and supplier data. The ideal candidate has 8–12 years of analytics experience, strong data quality discipline, and exposure to ERP environments (SAP knowledge is a plus).

Qualifications

• 8-12 years of experience in data analytics, business analytics, or BI roles.
• Hands-on SQL, Python, and data visualization tools.
• Experience with large datasets and ERP-like environments, SAP preferred.
• Strong analytical, problem-solving, and stakeholder management skills.
• Experience supporting digital or supply chain transformation initiatives is a plus.
• Bachelor’s or Master’s degree in a related field; relevant certifications advantageous.

Responsabilités

• Analyze large datasets using SQL, Python, Excel to identify trends and opportunities.
• Develop dashboards, KPIs, and reports for exec-level insights.
• Perform root-cause and variance analyses to address data quality issues.
• Partner with Supply Chain, IT, and business teams to translate requirements.
• Automate recurring analyses and contribute to analytics solutions in SAP or ERP ecosystems.

Connaissances

SQL

Python

Power BI

Tableau

Excel

Data visualization

Data quality

Data modeling

ETL concepts

Formation

Bachelor’s degree in Data Science / CS / Engineering / Mathematics

Masters degree (preferred)

Outils

SAP (knowledge preferred)

Power BI

Tableau

Description du poste

Program Manager Supply Chain AnalyticsDescription -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 ResponsibilitiesData Analysis & InsightsAnalyze 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 & VisualizationDesign, 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 TransformationWork 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 PartnershipSupport 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 & CompetenciesCore Data Analytics SkillsStrong 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 SkillsUnderstanding 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 & Experience8-12 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 + Masters 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.ComplexityWorks on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.DisclaimerThis job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.#LI-POSTJob -Data & Information TechnologySchedule -Full timeShift -No shift premium (India)Travel -Relocation -Equal Opportunity Employer (EEO) -HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal \"