Supply Chain Analyst
4 weeks ago
This job is with HP, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.Supply Chain Analyst (Data Analyst) Description - Job Summary We are seeking aSenior Data Analystwith strong expertise inPower BIand a solid foundation inAI/ML conceptsto join our growing analytics team. The ideal candidate will be responsible for designing and developing advanced dashboards, driving data insights, and applying machine learning techniques to support business decision-making. You will collaborate with cross-functional teams, translate business requirements into data-driven solutions, and guide junior analysts with best practices. Key Responsibilities Dashboarding & ReportingDesign, develop, and optimize interactivePower BI dashboardsand reports for multiple business functions. Ensure data accuracy, reliability, and user-friendly visualization for decision-making.Data Analysis & InsightsPerform deep-dive analysis to identify business trends, patterns, and improvement opportunities. Develop KPIs, metrics, and automated reporting frameworks.AI / ML IntegrationApply machine learning models (predictive, classification, clustering, etc.) to support business use cases. Collaborate with data science teams to integrate AI/ML outputs into Power BI reports. Support experimentation (A/B testing, forecasting, anomaly detection) to improve processes and outcomes.Collaboration & LeadershipPartner with stakeholders to understand business requirements and translate them into analytical solutions. Mentor junior analysts in Power BI best practices, data storytelling, and analytical techniques.Qualifications & Skills Must-Have: Bachelor's or Master's degree inData Science, Computer Science, Statistics, Mathematics, or related field . 5+ years of experience indata analysis and visualization . Expert-level knowledge inPower BI(DAX, Power Query, data modeling, performance tuning). Strong SQL skills and experience with relational databases. Hands-on knowledge ofAI/ML techniques(regression, classification, clustering, forecasting). Experience with Python or R for data analysis and machine learning. Strong analytical, problem-solving, and storytelling skills. Good-to-Have: Experience withAzure Data Services / Power Platform . Knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with MLOps / deploying ML models into production. Experience in mentoring or leading junior analysts. What We Offer Opportunity to work on impactful projects with advanced analytics and AI/ML. Collaborative work environment with a culture of learning and innovation. Growth opportunities to transition into Data Science / Analytics Leadership roles. 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. #LIPostJob - Supply Chain & Operations Schedule - Full time Shift - 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'sEEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"
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