Associate Data Operations Analyst

Opportunity Overview:

Full-time position, in-office. This position will require the candidate to engage critical thinking skills, be intellectually curious, and demonstrate great attention to detail. Requires excellent communications skills both written and oral. Must possess the ability to work with a diverse group of talent both in-person and globally. This is a hands-on manager role, that requires the manager to engage in the work of the team being managed.

What you’ll do:

Execute on SOPs, checklists, and quality assurance protocols to ensure operational consistency.

Adhere to SLAs and uphold turnaround time, data quality, and compliance standards.

Support data scientists by preparing, validating data for model development and deployment.

Identify, investigate, and resolve data discrepancies

Work flexibly across rotational or client‑aligned shifts as business needs evolve.

Perform effectively in a fast‑paced, dynamic operational environment.

Communicate risks, delays, dependencies, and issues proactively to stakeholders.

Support business teams with data analysis and reporting requirements

Maintain strict adherence to HIPAA, PHI handling procedures, and data privacy/security regulations across all processes.

ISMS 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:

Must-haves

Proficiency in SQL for querying.

Basic knowledge of Python (Pandas preferred).

Maintain high attention to detail across all operational activities.

Communicate risks, delays, dependencies, and issues proactively to stakeholders.

Strong adherence to data validation and data quality checks.

Experience with Excel / Google Sheets (pivot tables, formulas)

Nice-to-haves

Bachelors in computer science or master's in computer science with 70% and above.

Strong Mathematical skills

Understanding of Python programming Data structures

Ability to commute/relocate:

Nacharam, 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.