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Sr Business Intelligence Engineer

Cohere Health
CompanyCohere Health
CategoryEngineering
LocationHyderabad
RemoteOn-site (inferred)
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted6 Apr 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
Opportunity Overview: We are seeking a Senior Business Intelligence Engineer to join our Intelligence team. In this role, you will design, build, and optimize scalable data models and analytical assets that power reporting and self-service analytics across the organization. You will play a key role in strengthening our BI ecosystem by partnering closely with data platforms, and product teams to deliver high-quality, governed, and performant datasets and dashboards, while upholding best practices and standards.. This is an ideal opportunity for an experienced BI engineer who thrives in a hands-on technical role, can independently support complex initiatives, and is passionate about building clean, reliable, and scalable data foundations. This position offers the chance to have a substantial influence on the company, with the potential for rapid career advancement in a highly visible environment. What you’ll do: Collaborate with business stakeholders to understand reporting needs and translate them into functional requirements. Design, develop, and maintain BI reports, dashboards, and data visualizations using BI tools (e.g., Tableau, Power BI, etc.).    Build and optimize Tableau dashboards and KPI frameworks with a focus on performance, usability, governance, and row-level security. Ensure data consistency and quality in reports by working closely with the data management team. Apply best practices in dbt modeling, testing, version control, and release management to ensure high-quality, maintainable pipelines. Perform data analysis and ad-hoc queries to support business decision-making. Stay current with industry best practices and emerging BI technologies. Required Qualifications: Must-haves 6+ years of professional experience in business intelligence, analytics engineering, or data engineering, preferably in healthcare or another data-rich, regulated domain. Self-starter, able to work independently, able to succeed in a fast-paced, high intensity start-up environment Excellent english communication skills, with proven ability to create & deliver the results of analyses to non-technical audiences Advanced proficiency in SQL and strong hands-on experience with analytics engineering frameworks such as dbt. Strong experience with Tableau (Cloud and Desktop), including dashboard development, row-level security, performance optimization, and basic administration. Experience working with workflow orchestration tools such as Airflow. Experience working in AWS-based data platforms. Nice-to-haves Experience with dbt or with similar tools Experience with Python. Exposure to additional BI platforms such as Power BI, Sisense, or open-source BI tools. Experience supporting dashboard embedding and integration into web applications. Background in healthcare payer analytics, utilization management, or clinical workflows. Previous experience working in a global model Ability to commute/relocate: Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred) Interview Process*: Connect with Talent Acquisition  Meet with the Hiring Manager Behavioral Interview(s) 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
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