Lead Analytics Engineer – Data Platforms

Education : EQUIVALENTEXPERIENCE

At Elanco (NYSE: ELAN) – it all starts with animals

As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose – all to Go Beyond for Animals, Customers, Society and Our People.

At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.

Making animals' lives better makes life better – join our team today

Your Role: Lead Analytics Engineer

The individual must be able to articulate complex technical topics, collaborate with internal and external partners, and ensure 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.

Your Responsibilities:

• 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.

What You Need to Succeed (minimum qualifications):

• Bachelor's degree in computer science, Data Analytics or equivalent professional experience.
• 8+ years of analytics/BI experience, with 3+ years focusing on analytics engineering
• Expertise in dimensional modeling and metrics/semantic layer design

What will give you a competitive edge (preferred qualifications):

• Expertise in data testing and validation frameworks.
• Demonstrated experience leveraging analysis, visualization, and communication skills to create artifacts resulting in actionable insights.
• Experience mentoring analysts in SQL and data modeling best practices.
• Understanding of data governance and metadata management.
• 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
• Prototyping experience using Figma

Additional Information:

• Travel: 0%
• Location: India, Bangalore

Don't meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles

Elanco is an EEO/Affirmative Action Employer and 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