Opportunity Overview:
We are seeking a Sr Business Intelligence Engineer to join our Intelligence team. In this role, you will drive the development and optimization of our analytical infrastructure, enabling efficient, scalable, and consistent reporting and analytics across the organization. You will play a critical role in shaping the foundation of our BI ecosystem—working at the intersection of engineering, data modeling, and stakeholder enablement.
This is an ideal opportunity for an experienced BI engineer who can execute cross-functional projects, design performant data models, and contribute to the execution of a unified data strategy across platforms. You will also provide guidance and mentorship to junior team members and contribute to the evolution of Cohere’s modern data stack and governance practices.
What you’ll do:
- Lead the execution and refinement of our 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 closely 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 and maintainability by establishing and enforcing best practices in dbt modeling, testing, and documentation.
- Support release management, quality testing, version control, and promotion of analytics assets across environments.
- Enable data providers and analysts to deliver high-impact dashboards and KPI frameworks using Tableau, with an emphasis on performance, usability, and governance.
- Serve as the primary Tableau Cloud SME for the organization, including user management, security, performance tuning, and environment configuration.
- Lead integration of Tableau dashboards into front-end web applications using the Tableau APIs (embedding, authentication, filtering, and automation).
- Identify and remediate performance bottlenecks across queries, data models, and dashboards to ensure efficient access to high-volume datasets.
- Drive adoption of scalable, governed data marts that balance self-service enablement with data integrity, security, and compliance.
- Mentor and functionally lead junior engineers and analysts by providing technical guidance, conducting design reviews, and reinforcing BI and data engineering best practices.
- Contribute to shared documentation, standards, and operating processes to ensure long-term sustainability and trust in our analytics ecosystem.
I SMS roles and responsibilities
- 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.
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 and 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.
Ability to commute/relocate:
- Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred)
Interview Process*:
- Connect with the TAP for a Preliminary Phone Screening
- Meet with your Hiring Manager
- Technical Deep Dive
- Case Study
- Interview with Senior Leadership
- Subject to change
About Cohere Health:
Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction.
With the acquisition of ZignaAI, we expanded our AI-native platform with a comprehensive Payment Integrity Suite that spans data mining, clinical and coding validation, authorization and claims reconciliation, and end-to-end payment integrity services across pre- and post-pay workflows. By connecting clinical and payment insights, our transparent, AI-powered solutions help health plans proactively improve payment accuracy, reduce waste and vendor dependency, strengthen provider relationships, and build smarter, more efficient payment integrity programs.
Cohere Health’s innovations continue to receive industry-wide recognition. We’ve been recognized on TIME’s World Top HealthTech Companies 2025 list, the 2025 Inc. 5000 list, in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024.
We can’t wait to learn more about you and meet you at ZignaAI, a Cohere Health company!
Equal Opportunity Statement:
Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.