Supply Chain Data Insights Analyst

Machine Learning Technologies, LLC

Palo Alto (CA)

On-site

USD 110,000 - 150,000

Full time

3 hours ago
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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

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

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