Summary
Senior Data Analyst on the Supply Chain Intelligence team responsible for designing and maintaining data pipelines and integrations to ensure accurate mapping and flow of supply chain data across systems. The role partners with cross functional business product and technology teams to deliver actionable insights and support decision making while mentoring junior analysts.
Responsibilities
- Analyze and map supply chain data flows across multiple processes to build scalable data pipelines.
- Develop and maintain ETL processes and integrations using tools such as Apache Airflow and Dataflow.
- Generate and maintain reports to track data flow performance and identify improvements.
- Conduct regular audits to ensure data integrity and compliance across systems.
- Monitor troubleshoot and resolve data pipeline issues to ensure timely delivery.
- Optimize data flow processes to enhance efficiency and reliability.
- Develop and track KPIs to measure effectiveness of inbound integration efforts.
- Partner with cross functional teams to define business requirements for data interoperability.
- Lead and mentor 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.
- Strong understanding of ETL processes data management principles and data pipeline development.
- Proficiency in Python or R and strong SQL skills with 3+ years extracting large datasets from relational databases.
- Experience with data querying and visualization tools such as Tableau Looker or IBM Cognos.
- Knowledge of supply chain operations and data migration experience preferred.
- Excellent problem solving attention to detail and organizational skills.
- Strong communication and collaboration skills.
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