Centralized Supply Chain Data Analyst

Ethereum Technologies; Palo Alto (CA); On-site; USD 100,000 - 150,000; Full time

Job summary

Ethereum Technologies is seeking a Supply Chain Data Analyst to aid in the design and development of a centralized data environment. This role will help define data structures, organize tables, and ensure stakeholders can interpret and utilize new analytical capabilities.

The position involves collaborating with clinical, Supply Chain and IT teams to identify reporting requirements, model data effectively, and improve data quality through automation and documentation.

Qualifications

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

Responsibilities

• Support the design of 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 for the future-state repository.
• Collaborate with technical teams and stakeholders to identify reporting requirements.
• Organize and structure data tables to support downstream analytical processes.
• Translate complex data structures into actionable insights for business users.
• Facilitate reduction of manual data manipulation through automated processes.

Skills

Databricks

SQL

Python/PySpark

Dashboarding

Data Modeling

Data Quality

Coordination across teams

Education

Bachelor's degree in Data Analytics / related field

Tools

Tableau

Power BI

Job description

Ethereum Technologies is seeking a Supply Chain Data Analyst to aid in the design and development of a centralized data environment. This role will help define data structures, organize tables, and ensure stakeholders can interpret and utilize new analytical capabilities.

The position involves collaborating with clinical, Supply Chain and IT teams to identify reporting requirements, model data effectively, and improve data quality through automation and documentation.