Supply Chain Analyst Data Analyst @ HP
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Job Summary
HP is seeking a Senior Data Analyst with expertise in Power BI and a strong foundation in AI/ML concepts. In this role, you will design and develop advanced dashboards, drive data insights, and apply machine learning techniques to support business decision-making.
Key Responsibilities
- Dashboarding & Reporting: Design, develop, and optimize interactive Power BI dashboards and reports, ensuring data accuracy and user-friendly visualizations.
- Data Analysis & Insights: Perform deep-dive analysis to identify trends, develop KPIs, and build automated reporting frameworks.
- AI / ML Integration: Apply machine learning models for predictive, classification, clustering, and support business use cases; collaborate with data science teams.
- Collaboration & Leadership: Partner with stakeholders to translate requirements and mentor junior analysts in best practices.
Qualifications & Skills
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field along with 5+ years of experience in data analysis and visualization. Must have expert-level knowledge in Power BI (DAX, Power Query, data modeling), strong SQL skills, hands-on AI/ML techniques experience, and proficiency with Python or R.
Good-to-Have
Experience with Azure Data Services, cloud platforms (AWS, Azure, GCP), familiarity with MLOps, and experience in mentoring junior analysts.
What We Offer
Opportunity to work on impactful projects, a collaborative work environment, and growth opportunities into Data Science/Analytics Leadership roles.
Key skills/competency
- Power BI
- Data Analysis
- SQL
- AI/ML
- Python
- Data Visualization
- Dashboarding
- Mentoring
- Business Insights
- Cloud Platforms
How to Get Hired at HP
🎯 Tips for Getting Hired
- Customize Resume: Align your skills with Power BI and AI/ML requirements.
- Highlight Experience: Emphasize dashboard design and SQL skills.
- Research HP: Understand their analytics projects and culture.
- Prepare Stories: Demonstrate collaboration and mentoring successes.