The MQ Tech at Lilly Data Analytics engineer for Global Supply Chain will be responsible for building solutions to bring transparency into Lilly’s Supply Chain.
Key Responsibilities:
- Data Architecture Design: Develop and maintain scalable data architectures and models that support supply chain analytics and reporting.
- Data Integration: Integrate data from various sources, including ERP systems, inventory management systems, and external data feeds, ensuring data quality and consistency.
- Analytics and Reporting: Create advanced analytics and reporting tools to provide insights into supply chain performance, inventory levels, demand forecasting, and supplier performance.
- Collaboration: Work closely with supply chain managers, analysts, and IT teams to understand data needs and ensure alignment with business objectives.
- Optimization: Identify opportunities for process improvements and cost savings through data analysis and reporting.
- Technical Documentation: Document data processes, technical specifications, and system configurations for future reference and compliance.
- Problem Solving: Troubleshoot data-related issues and provide technical support to end-users.
- Stay Current: Keep abreast of industry trends, best practices, and emerging technologies related to data engineering and supply chain management.
Basic Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Supply Chain Management, or a related field. Master’s degree preferred.
- 5-7 years of experience in data engineering, analytics and reporting. Preferably experience in Supply Chain Management, but not require
Technical Skills:
- Proficiency in programming languages (e.g., Python, R, SQL).
- Proficiency in Microsoft Fabric
- Preferred proficiency in Jupiter Notebooks but not mandatory.
- Experience with data visualization tools (specificallyPower BI, but other tools considered).
- Familiarity with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Spark).
- Knowledge of database management systems (e.g., Azure SQL, AWS RDS, Redshift).
- Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data sets.
- Communication: Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
Preferred Skills:
- Understanding of supply chain processes and metrics.
- Experience with machine learning techniques and statistical analysis.
- Familiarity with ERP systems (e.g., SAP S/4 HANA,BW4HANA ) and supply chain planning software.
- Certifications in AWS and Azure.
Work Environment:
Position will be based in Indianapolis at the Eli Lilly Corporate Headquarters.
- Typically works in an office setting..
- May require occasional travel to supplier sites or company facilities.
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