Lead Data Analyst

Opportunity Overview:

We are seeking a Technical, Hands-on Manager to lead a team

• responsible for building and maintaining high-quality healthcare market datasets and analytics that power internal insights, benchmarking, and external thought leadership
• In this role, you will lead a team of data analysts responsible for the development, quality assurance, and ongoing refresh of market data assets.
• You will combine strong people leadership with technical expertise in analytics and data science to ensure reliable, scalable data pipelines and actionable insights.
• The ideal candidate is both a strong people manager and a hands-on analytics leader who can guide analysts in rigorous data methodology, translate data outputs into meaningful business insights, and partner closely with commercial strategy, product, clinical, and analytics stakeholders.
• What you’ll do:
• Lead and develop a team of data analysts responsible for the creation, validation, and ongoing refresh of healthcare market datasets.
• Mentor analysts in data methodology, statistical reasoning, and reproducible analytics practices to ensure consistent and rigorous analysis across the team.
• Establish analytic standards, coding practices, and documentation expectations to ensure all datasets and insights produced by the team are reproducible and scalable.
• Establish and maintain governance processes for market data including versioning, documentation, auditability, and traceability of data sources and methodologies.
• Oversee change-detection logic, ensuring the team systematically identifies and documents additions, removals, and shifts in the market dataset.
• Define and enforce data quality standards across ingestion, transformation, and analysis workflows.
• Collaborate with Data Engineering and Platform teams to ensure the underlying data infrastructure supports scalable ingestion, transformation, and analytics workflows used by the analyst team.
• Translate analytic outputs into business insights, benchmarks, and structured datasets that support product strategy, commercial enablement, and thought leadership initiatives.
• Drive the implementation of project scope definition, effort estimation, and planning in close coordination with cross-functional teams.
• Conduct code reviews and analytics methodology reviews to ensure maintainable, reproducible data workflows and high-quality analytic outputs.
• ISMS roles and responsibilities:
• Good knowledge of Information practices.
• Assist the manager in all the information security activities implementation and maintenance process.
• Ensuring the team and imparted with Competence related to Information security
• Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager.
• Required Qualifications:

Must-haves

• 7+ years of professional experience in data analytics, data science, or quantitative analysis in a production environment.
• Strong proficiency in Python and data analysis libraries (Pandas, NumPy, SciPy, Matplotlib).
• Advanced SQL querying and ability to work with large datasets.
• Strong understanding of statistics, data analysis methods, and pattern detection in complex datasets.
• Experience managing multiple concurrent analytics projects and prioritizing work across a team of analysts.
• Experience designing analytic frameworks or benchmark datasets used by business teams or external stakeholders.
• Experience managing data quality, data governance, and dataset lifecycle management.
• Experience evaluating and applying modern analytics or AI techniques (including LLM-based tools where appropriate) to enrich datasets or accelerate analytic workflows.
• Experiment and rapidly prototype design frameworks and validate hypotheses efficiently.
• Strong software engineering fundamentals including modular Python code, reusable analytic functions, and maintainable data pipelines.
• Familiarity with cloud data platforms (e.g., AWS, GCP, or Azure) and common data services used to store, process, and query large datasets.
• Work seamlessly across Data Science, Engineering, Product, DevOps, and Data Engineering teams to align technical decisions with business goals, ensuring smooth integration of AI/ML capabilities into production systems
• Excellent communication and storytelling skills, capable of translating complex AI/ML concepts into clear, actionable insights for leadership, stakeholders, and non-technical partners.
• Ownership mindset with end‑to‑end accountability, ensuring delivery from concept to deployment to monitoring—while continuously identifying risks, blockers, and opportunities for improvement.

Nice-to-haves

• Background in healthcare payment integrity, clinical data workflows, or payer/provider analytics.
• Thought leadership in analytics-driven market intelligence, benchmarking, or healthcare data insights.
• Experience working with healthcare claims, authorization, or utilization management data.
• Experience producing market intelligence, benchmarking studies, or industry datasets.
• Familiarity with healthcare payer workflows or healthcare analytics environments.
• Familiarity with compliance, governance, and security best practices for healthcare data (HIPAA, PHI handling, logging, auditing).
• 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 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 Cohere Health!
• 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.