Lead Analytics Engineer – Data Platforms (Data Consumption)

Lead Analytics Engineer

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 enterprise visualizations and the Power Platform landscape.
- Influence Data Platforms product owners and leadership to ensure appropriate prioritization and planning.
- Mentor analysts and analytics engineers on data modeling, SQL best practices, and analytics engineering principles.
- Continuously educate stakeholders on Data Platforms services, standards, examples, and patterns.
- Work with the Product manager and Operations Lead to ensure related service offerings are represented in the catalog and are accessible/discoverable.
- Represent the Data Platforms team as a data evangelist across communities, forums, and working groups.

Minimum qualifications:
- Bachelor’s degree in computer science, Data Analytics, or equivalent professional experience.
- 8+ years of analytics/BI experience, including 3+ years focused on analytics engineering.
- Expertise in dimensional modeling and metrics/semantic layer design.

Preferred qualifications:
- Expertise in data testing and validation frameworks.
- Demonstrated ability to use analysis, visualization, and communication skills to create actionable insights.
- Experience mentoring analysts in SQL and data modeling best practices.
- Understanding of data governance and metadata management.
- Experience with modern data analysis tools/technologies, emphasizing Power BI/Power Platform, Tableau, Databricks, Azure, SQL, Power Query, and DAX.
- Prototyping experience using Figma.

Additional information:
- Travel: 0%
- Location: India, Bangalore