Supply Chain Data Analyst

Supply Chain Data AnalystDescription -Job SummaryThis role is responsible for collecting, cleaning, preprocessing, and analyzing large datasets to derive meaningful insights and actionable recommendations. The role creates clear and effective visual representations of data using charts, graphs, and dashboards to communicate findings to technical and non-technical audiences. By transforming raw data into actionable insights, the role empowers teams across the organization to work more efficiently and effectively.You can work across a range of areas, including, but not limited to:financesupply chaincategory operationsdemand planningfactory operationsbusiness intelligenceGBUMarketingResponsibilitiesAs a data scientist, you'll need to:work closely with your business partners to identify issues and use data to propose solutions for effective decision makingbuild algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organizationuse machine learning tools and statistical techniques to produce solutions to problemstest data mining models to select the most appropriate ones for use on a projectmaintain clear and coherent communication, both verbal and written, to understand data needs and report resultscreate clear reports that tell compelling stories about how customers or clients work with the businessassess the effectiveness of data sources and data-gathering techniques and improve data collection methodshorizon scan to stay up to date with the latest technology, techniques and methodsconduct research from which you'll develop prototypes and proof of conceptslook for opportunities to use insights/datasets/code/models across other functions in the organizationstay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.In your role, you'll also need to:train, propagate and share knowledge with team memberscontribute to develop further organization’s data science strategyestablish new systems and processes and look for opportunities to improve the flow of dataevaluate new and emerging technologiesbuild and develop relationships with other key stake holders & departments.Education & Experience Recommended• Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.• Typically has 4-7 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with 3-5 years of work experience.Preferred Certifications• Programming Language/s Certification (SQL, Python, or similar)Knowledge & Skills• Agile Methodology• Business Intelligence• Computer Science• Dashboard• Data Analysis• Data Management• Data Modeling• Data Quality• Data Science• Data Visualization• Data Warehousing• Extract Transform Load (ETL)• Machine Learning• Power BI• Python (Programming Language)• R (Programming Language)• SAS (Software)• SQL (Programming Language)• Statistics• Tableau (Business Intelligence Software)Cross-Org Skills• Effective Communication• Results Orientation• Learning Agility• Digital Fluency• Customer CentricityImpact & Scope• Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.Complexity• Responds to moderately complex issues within established guidelines.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, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.Job -SoftwareSchedule -Full timeShift -First Shift (India)Travel -Relocation -EEO Tagline - HP Inc. is EEO F/M/Protected Veteran/ Individual with Disabilities.