▷ (Apply in 3 Minutes) Business Analyst - Enterprise Data Operations

Job Description Lillyu2019s Purpose Come bring to life technologies to lead in Pharma-tech The Enterprise Data organization has developed an integrated and intuitive data and analytics platform. This platform enables Lilly team members to quickly ingest, transform, consume, and analyze data sets in statistical environments, advanced analytics environments, and BI/visualization tools. Contributors can easily ingest, prepare, and analyze new data sets (cleanse, enhance, publish) for others to utilize.u00A0 What you will be doing: Reporting to the Manager LCCI Tech@Lilly, In this role, you will work closely with data engineers, business analyst, quality, data owners and stakeholders to efficiently manage, monitor and optimize the on-going flow of quality data to consumers for data sharing and analytics. Key Responsibilities Understand Business Needs: Collaborate with business stakeholders to understand data needs, business objectives, and specific operational requirements. Document Business Requirements: Capture and document clear, detailed business requirements related to data management, processing, reporting, and analytics. Define Data Specifications: Work with the technical operations team to define data requirements for data integration, transformation, and storage, ensuring data is captured and processed correctly. Data Mapping: Develop data mapping documents that translate business requirements into technical data structure specifications. Process Improvement: Identify opportunities to optimize current data processes to increase efficiency, reduce redundancy, and improve data quality. Workflow Design: Work with the technical team to design, develop, and improve data workflows, ensuring smooth data flow across various systems (e.g., data lakes, warehouses, or operational databases). Business Rules and Logic: Define and document business rules that guide data processing, reporting, and analytics. Data Validation: Ensure data is accurate, consistent, and reliable by working with the technical team to design validation rules and perform quality checks. Data Monitoring: Monitor data quality post-deployment and collaborate with the operations team to identify and resolve data quality issues in real-time. Root Cause Analysis: Assist in performing root cause analysis for data discrepancies or failures and support the implementation of corrective measures. Cross-Functional Collaboration: Work closely with technical teams (e.g., Data Engineers, Data Analysts, Data Operations Engineers) to ensure seamless data integration and operations. Stakeholder Communication: Regularly communicate with business stakeholders to provide status updates, gather feedback, and ensure alignment between business objectives and technical implementations. Training & Documentation: Create and maintain documentation for business requirements, system processes, and training materials for business users to understand data processes and reports. Reporting Support: Support business teams in defining data requirements for reporting and analytics by ensuring that data is structured and accessible for analysis. Key Metrics Definition: Assist in defining key metrics and KPIs for business reporting, ensuring data is prepared and aligned for meaningful insights. Dashboards & Visualizations: Work with the technical team to ensure the creation and maintenance of dashboards or data visualization tools that meet business needs. Requirements Change Management: Manage any changes in business requirements, ensuring proper documentation, impact analysis, and communication to stakeholders. Impact Assessment: Work with the team to assess the potential impact of changes to existing data systems or processes, ensuring minimal disruption to business operations. Monitor Trends: Stay informed on industry best practices, emerging tools, and technologies related to data analytics and operations to help optimize processes and improve operational effectiveness. Feedback Loop: Regularly gather feedback from stakeholders to refine data processes and ensure that evolving business needs are met by the data operations team Qualifications/Skills: - MBA/ or bacheloru2019s degree in computer science, information technology, management information systems or equivalent work experienceu00A0 - Experience with software development from project initiation to deployment, support, and retirement. - 5+ years of work experiences including Information Technology experience in multiple technical areas and roles. - Willingness to work in rotational shifts. Knowledge of AWS or similar Cloud platformu00A0 - Experience with defining services for new capabilitiesu00A0 - Knowledge of and experience with system integration, architectureu00A0andu00A0database design.u00A0 - Demonstrated ability to learn new technologies quickly and manage multiple priorities. - Demonstrated leadership skills and abilities. 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 () 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. Lillyu00A0does 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. #WeAreLilly