Supply Chain Data Analyst

MACHINE LEARNING TECHNOLOGIES LLC; Palo Alto (CA); On-site; USD 83,000 - 152,000; Full time

Job summary

Machine Learning Technologies LLC is seeking a Supply Chain Data Analyst to help design and implement a centralized data environment for healthcare-focused analytics. The role emphasizes data organization, schema standards, and collaboration with clinical, supply chain, and IT teams.

The successful candidate will work with Databricks, SQL, Python/PySpark, and dashboarding tools to deliver KPI-driven insights and automate data processes, enabling stakeholders to make informed decisions.

Qualifications

• Bachelor's degree in Data Analytics, CS, IS, SC or related field.
• Experience with enterprise data environments, migrations or modernization.

Responsibilities

• Support design of centralized supply chain data environment.
• Define data organization and schema standards.
• Collaborate with IT and business teams on reporting needs.
• Organize data tables to support downstream analytics.
• Translate complex data structures into actionable insights.
• Reduce manual data manipulation via automation.

Skills

SQL

Python/PySpark

Databricks

Dashboarding

KPI design

Data modeling

Data quality

Data literacy

Cross-functional coordination

Education

Bachelor's degree in Data Analytics/CS/IS/SC

Tools

Tableau/PBI

Job description

Job Overview

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.