Supply Chain Analyst (Data Analyst)

Supply Chain Analyst (Data Analyst)

Description -

Job Summary

We are seeking a Senior Data Analyst with strong expertise in Power BI and a solid foundation in AI/ML concepts to 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 & Reporting
  • Design, develop, and optimize interactive Power BI dashboards and reports for multiple business functions.
  • Ensure data accuracy, reliability, and user-friendly visualization for decision-making.
• Data Analysis & Insights
  • Perform deep-dive analysis to identify business trends, patterns, and improvement opportunities.
  • Develop KPIs, metrics, and automated reporting frameworks.
• AI / ML Integration
  • Apply 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 & Leadership
  • Partner 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 in Data Science, Computer Science, Statistics, Mathematics, or related field.
• 5+ years of experience in data analysis and visualization.
• Expert-level knowledge in Power BI (DAX, Power Query, data modeling, performance tuning).
• Strong SQL skills and experience with relational databases.
• Hands-on knowledge of AI/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 with Azure 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.

#LIPost

Job -

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.

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