At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
Company Overview:
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our ~37,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
Position Description:
The Data Solutions Engineer in SCM will be responsible for building solutions to bring the needed 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.
- Data Management: Establish data governance practices to ensure data accuracy, security, and compliance with industry standards.
- 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.
Qualifications:
- Education: Bachelor’s degree in Computer Science, Data Science, Supply Chain Management, or a related field. Master’s degree preferred.
- Experience: 3-6 years of experience in data engineering, analytics, or supply chain management.
- Technical Skills:
- Proficiency in programming languages (e.g., Python, R, SQL).
- Proficiency in Fabric
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Familiarity with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark).
- Knowledge of database management systems (e.g., MySQL, Oracle, SQL Server).
- 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, Oracle) and supply chain planning software.
Work Environment:
- Typically works in an office setting, with potential opportunities for remote work.
- May require occasional travel to supplier sites or company facilities.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.
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