Consultant Supply Chain Analytics

Description -

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

Data Analysis & Insights

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

4-8 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.

Bachelors or Bachelors 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.

Disclaimer

This 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 responsibilities skills or qualifications. Responsibilities may evolve based on business needs.

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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 HPsEEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal