Supply Chain Data Analyst

• Job ID:

J53599

• Job Title:

Supply Chain Data Analyst

• Location:

Stanford, CA

• Duration:

10 Months + Extension

• Domain Exposure:

Healthcare

• Work Authorization:

US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD

• Client:

To Be Discussed Later

• Employment Type:

W-2, 1099, C2C

Job Description:

An established organization is seeking a Supply Chain Data Analyst to support the design and development of a centralized data environment.. This individual will help define data structures, organize tables, and ensure business stakeholders can effectively interpret and utilize the new analytical capabilities.

Key Responsibilities:

• Support the design of a centralized supply chain data environment utilizing modern data platforms.
• Assess current-state supply chain data sources and document existing structures.
• Define data organization and schema standards to optimize the future-state data repository.
• Collaborate with technical teams and business stakeholders to identify reporting requirements.
• Organize and structure data tables to support downstream analytical processes and business decisions.
• Translate complex technical data structures into actionable insights for business users.
• Facilitate the reduction of manual data manipulation through automated processes.

Required Qualifications

Education: Bachelor's degree in Data Analytics, Computer Science, Information Systems, Supply Chain, or a related field of study.

Experience

Documented experience working with enterprise-level data environments, managing data migrations, or supporting data modernization initiatives.

Required Skills:

• Databricks
• SQL and Python/PySpark in Databricks notebooks
• Dashboarding (e.g. Tableau/PBI) and KPI Design
• Supply Chain data literacy: items, par levels, usage, spend
• Data Modeling
• Data Quality, reconciliation and documentation
• Coordination across clinical, Supply Chain and IT teams

Preferred Qualifications:

• Prior experience working with supply chain data models and logistics metrics.
• Experience operating within the healthcare sector or clinical environments.
• Demonstrated ability to bridge communications between highly technical developers and business professionals.

Equal Opportunity

Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs.

We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.