Manager, Business OperationsDescription -Data scientists turn raw data into meaningful information that organization can use to improve businesses.We are looking for a Data Scientist to join our team and help us leverage data to optimize our supply chain operations. You will be responsible for designing, developing, analyze and interpret large amounts of data from a range of sources, using algorithmic, data mining and statistical tools, to make it accessible to businesses, to support the planning and reporting of our supply chain performance. You will also be responsible for monitoring and managing global inventories, as well as excess and obsolescence, and ensuring timely and cost-effective delivery of materials and products. You will also be responsible for teaching non-technical team members capabilities to self service automation and reporting. To be successful as a Business Data Scientist, you should have a bachelor’s degree, and more importantly, experience with data engineering tools, frameworks, and languages, such as SQL, Python, etc. You should also have experience with ERP systems, reporting tools, automation, and ETL processes. You should also have strong analytical, financial accounting/business acumen, communication, and problem-solving skills, as well as the ability to work in a fast-paced and dynamic environment. In this role, you also need people manager skills leading a high-performing team to provide business intelligence for global inventory, bringing efficiencies to the organization.Business Data Engineer Responsibilities: Provide feedback on design, develop, and maintenance of data pipelines, databases, and analytics solutions that support supply chain operations. Collect, transform, and integrate data from various sources, such as ERP systems, external APIs, and web scraping Create and present automated reports and dashboards on supply chain performance, metrics, and KPIs Monitor and manage inventory levels and availability across our supply chain network, as well as, monitor and mitigate excess and obsolescence Provide feedback on the ability to forecast sales and production levels based on historical data, market trends, and customer demand Identify and implement opportunities for improving efficiency, reducing costs, and increasing customer satisfaction Support the development and execution of data-driven supply chain strategies and initiatives Support, teach, and inspire non-technical team members to leverage digital self service tools (i.e. automation, robotic process automation (RPA), and reporting)As a manager you will also be responsible for lead and develop team members for process improvements and automation, contributing to develop further organization’s data science strategyRequirements: Bachelor’s degree in computer science, engineering, data science, or a related field 5+ years of experience in data engineering, data analysis, planning, logistics, finance, or a similar role Proficient in data engineering tools, frameworks, and languages, such as SQL and Python Proficient in ERP systems (operational and financial), reporting tools, automation, and ETL processes Excellent analytical, communication, and problem-solving skills Ability to work independently and collaboratively in a fast-paced and dynamic environmentAdvanced leadership skills, including coaching, team- building, conflict resolution, and managementAbility to manage a team in a virtual and global environment to drive workforce development and achieve desired results.Job -Supply Chain & OperationsSchedule -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
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