Supply Chain Analytics ManagerDescription -HP is a proven leader in personal systems and printing, delivering innovations that empower people to create, interact, and inspire like never before. We leverage our strong financial position to extend our leadership in traditional markets and invest in exciting new technologies. HP has an impressive portfolio and strong innovation pipeline across areas such as blended reality technology, 3D printing, multi-function printing, Ink in the office, notebooks and mobile workstations.Roles and Responsibilities:This is an opportunity to join the Analytics organization of HP Inc and responsible for supply chain planning and analytics of print business unit. Analytics hosts planning activities for WW Supply Chain Operations and provide analytics and operational expertise to drive fact-based strategic and tactical supply planning, manage and execute forecast improvement initiatives by leveraging advanced analytics through simulation, modelling, optimization techniques & predictive analytics. Key metrics include Forecast Accuracy and bias, days of inventory (DOI), and availability. The team work closely with various business units, regions, functions and manufacturing partners across multiple domains.Skills Requirement:Supply and Demand Planning process with focus on improving the forecast accuracy/availability with optimal inventory.Proven expertise in transforming the end to end value chain in a complex environment.Proficiency in SAP APO/IBP/Ariba or any other planning solutions is a must.Capability to design analytics solutions, simulation, modelling to address business problems.Experience in advanced analytics/optimization techniques and expertise in analytics tools like R/Python.Effectively tell stories and create visualizations to communicate data insights. Skills on a visualization tools like Power BI/Tableau would be the key.Understand and streamline complex data structures and cloud based systems/services.Strong business acumen, a high degree of ownership and integrity, and a high attention to detail.Ability to build relationships with external entities with controls on timelines, cost and returns.Review/analyse/manage data to identify areas of supply chain operations to improve efficiency.Solid experience in leading digital transformation programs delivering significant value.Manage a diverse analytics team and drive strategic change thru incubating scalable solutions.Academics and Experience:Bachelor's or Master's in Operations / Operations Research / Computer Science / Statistics / Mathematics10 - 15 years of work experience in Supply Chain Management/ Operations planning function in Hi Tech or related industry with significant hands-on experience in multitasking/ cross functional environment.>5 years of experience in data analytics, statistical modeling, machine learning, or a related field.Demonstrated program management skills and managed analysts/stakeholders across the globe.#LI-POSTJob -SoftwareSchedule -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.If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement
View Original Job Posting