Business Intelligence Engineer
On-siteHyderabad, Telangana, India
Job Summary
Lead the execution and refinement of business intelligence and analytics architecture, ensuring consistency, performance, and scalability across dashboards and self-service tools. Design and implement robust semantic and dimensional data models supporting operational, clinical, and strategic analytics use cases. Collaborate with data platform, analytics, and product teams to define shared data definitions, build source-of-truth datasets, and align transformations with stakeholder needs. Improve data pipeline efficiency by establishing best practices in dbt modeling, testing, and documentation, while supporting release management and quality testing across environments. Serve as the primary Tableau Cloud SME, managing user security, performance tuning, and integrating dashboards into front-end web applications using Tableau APIs. Identify and remediate performance bottlenecks across queries and models to ensure efficient access to high-volume datasets. Mentor junior engineers and analysts through technical guidance and design reviews to reinforce BI and data engineering best practices. Contribute to shared documentation and operating processes to ensure long-term sustainability of the analytics ecosystem.
Required Qualifications
- 3+ years of professional experience in business intelligence, analytics engineering, or data engineering, preferably in healthcare or another data-rich, regulated domain
- Expert-level proficiency in SQL
- strong hands-on experience with modern BI and analytics engineering frameworks (e.g., dbt or similar)
- Extensive experience working with healthcare data domains such as claims, members, providers, eligibility, authorizations, or utilization management
- Deep expertise in Tableau (Cloud, Desktop, Prep), including Tableau APIs, dashboard embedding, row-level security, performance optimization, and administration
- Proven experience designing scalable data models that support both enterprise reporting and ad hoc analysis
- Strong understanding of dimensional modeling principles, normalization vs. denormalization tradeoffs, and analytical performance tuning
- Experience with workflow orchestration tools such as Airflow
- Hands-on experience working in AWS-based data platforms
- Demonstrated ability to mentor or functionally lead a small team, providing technical direction and enforcing standards
- Excellent communication and stakeholder management skills, with the ability to translate technical decisions into business value
- Fair understanding of Information Security practices
- Align to the organization policies and procedures
- Ensure to get updated with ISMS roles as assigned by the department/process heads
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