Supply Chain Data Analyst

Quantum Technologies. LLC; Palo Alto (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

Quantum Technologies. LLC is seeking a Supply Chain Data Analyst to help design a centralized data environment and to define data structures, organize tables, and enable stakeholders to interpret analytics.

The role collaborates with IT, supply chain, and clinical teams to translate complex data models into actionable dashboards and KPIs using Databricks, SQL, and Python. Strong SQL/PySpark, data modeling, and data quality discipline are essential, with preference for healthcare or logistics

Qualifications

• Bachelor's degree in a relevant field (Data Analytics, CS, IS, Supply Chain)
• Experience with enterprise-level data environments, data migrations, or modernization initiatives

Responsibilities

• Support design of a centralized supply chain data environment using modern data platforms.
• Assess current-state data sources and document structures.
• Define data organization and schema standards for future data repository.
• Collaborate with technical teams and stakeholders to identify reporting requirements.
• Organize and structure data tables to enable downstream analytics.
• Translate complex data structures into actionable business insights.
• Reduce manual data manipulation through automated processes

Skills

Databricks

SQL & Python/PySpark

Dashboarding

Data Modeling

Data Quality

Cross-functional Coord.

Education

Bachelor's degree (Data Analytics / CS / IS / Supply Chain)

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.