Summary
Senior Data Analyst on the Supply Chain Intelligence team responsible for designing and maintaining scalable data pipelines and integrations to ensure data integrity across supply chain systems and reports. The role partners with cross functional product, tech, and business teams to provide analytics, reporting, and actionable insights that improve supply chain operations and controls.
Responsibilities
- Analyze and map supply chain data flows across multiple systems to build and manage data pipelines.
- Develop, monitor, and troubleshoot ETL processes to ensure timely data integration and high quality.
- Generate and maintain reports and KPIs to track data flow performance and identify improvements.
- Conduct regular data audits to ensure integrity and compliance of integrated datasets.
- Collaborate with cross functional teams to define business requirements and align on data needs.
- Optimize data flow processes and integration solutions to enhance efficiency and reliability.
- Provide regular updates to senior management on integration progress and outcomes.
- Mentor and lead other analytics team members to foster data driven practices.
Requirements
- Bachelor’s degree in computer science, information systems, data science, or related field.
- 5+ years of experience in data analysis, system integration, and process optimization.
- Experience with ETL, data pipeline development, and tools such as Apache Airflow or Dataflow.
- Strong coding skills in Python or R and advanced SQL experience extracting large datasets.
- 3+ years of SQL experience with relational databases such as Oracle, PostgreSQL, or MySQL.
- Proficiency with data visualization and reporting tools such as Tableau or Looker.
- Knowledge of supply chain operations and data migration experience preferred.
- Strong problem solving, communication, and organizational skills.
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