Lead Analytics Engineer – Data Platforms; Data Consumption

Role Summary

Lead Analytics Engineer – Data Platforms (Data Consumption). The role requires articulating complex technical topics, collaborating with internal and external partners, and ensuring quality delivery of the required data products. Reporting to the Associate Director - Data Platforms, the Lead Analytics Engineer is responsible for making our data accessible, understanding its business value, generating insights, and communicating those insights effectively to deliver value and enable decisions.

This role focuses on speed to insight, raising our organization’s data fluency, and championing continual improvement.

• Lead the design and implementation of scalable data modeling frameworks that transform raw data into reliable, analytics-ready datasets.
• Establish organizational standards for metric definitions, business logic, and data transformation patterns.
• Address enhancements, requests, and incidents related to our enterprise visualizations and Power Platform landscape.
• Influence Data Platforms product owners and leadership to ensure the appropriate prioritization and planning of opportunities occurs.
• Mentor analysts and analytics engineers on data modelling, SQL best practices, and analytics engineering principles.
• Continuously educate stakeholders about services, standards, examples, and patterns provided by the Data Platforms team.
• Work with the Product manager and Operations Lead to ensure related service offerings are represented appropriately in the catalog and are accessible/discoverable by stakeholders.
• Represent the Data Platforms team across Elanco as a data evangelist and champion in our various communities, forums, and working groups.

• Required: 8+ years of analytics/BI experience, with 3+ years focusing on analytics engineering
• Required: Expertise in dimensional modeling and metrics/semantic layer design
• Preferred: Expertise in data testing and validation frameworks
• Preferred: Demonstrated experience leveraging analysis, visualization, and communication skills to create artifacts resulting in actionable insights
• Preferred: Experience mentoring analysts in SQL and data modeling best practices
• Preferred: Understanding of data governance and metadata management
• Preferred: Demonstrated experience with the relevant languages, tools and technologies associated with modern data analysis with an emphasis on Power BI/Power Platform, Tableau, Databricks, the Azure Platform, SQL, Power Query and DAX
• Preferred: Prototyping experience using Figma

• Bachelor’s degree in computer science, Data Analytics or equivalent professional experience

• Data modeling and analytics engineering principles
• SQL development and optimization
• Dimensional modeling and semantic layer design
• Proficiency with Power BI/Power Platform, Tableau, Databricks, Azure, SQL, Power Query and DAX
• Data governance and metadata management
• Data testing and validation frameworks
• Mentoring and coaching analysts
• Stakeholder communication and ability to translate data into actionable insights

• Travel: 0%
• Location:
  
  India, Bangalore