Supply Chain Data Analyst

Machine Learning Technologies, LLC; Palo Alto (CA); On-site; USD 110,000 - 150,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a Supply Chain Data Analyst to help define data structures and build a centralized data environment for supply chain analytics. You will organize tables, ensure data quality, and translate complex data into actionable insights for business users.

You will collaborate with IT, clinical and logistics stakeholders to document reporting requirements, design schema standards, and automate data workflows that reduce manual tasks and support informed

Qualifications

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

Responsibilities

• Design a centralized supply chain data environment using 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 analytics and decisions.
• Translate complex data structures into actionable insights for business users.
• Automate data processes to reduce manual data manipulation.

Skills

Databricks

SQL

Python/PySpark

Dashboarding

Data Modeling

Data Quality

Coordination across teams

Education

Bachelor's degree in Data Analytics

Tools

Tableau

Power BI

Job description

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
• 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.

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.