Senior Data Quality Analyst

Socket.dev; New York (NY); Hybrid; USD 133,000 - 156,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Hybrid work model

Paid time off

Job summary

Komodo Health is seeking a Data Quality Analyst to ensure the integrity of our Healthcare Map data. You will triage data issues, design QA processes, and collaborate with engineering to resolve bugs that affect client outcomes.

You will work in a fast-paced, agile environment, applying SQL and Python skills to manage data quality across claims, EHR, and lab data sources, while leveraging AI tools to improve workflows and insights.

Qualifications

• Fluent with healthcare data (claims, EHR, and lab data).
• Analytical mindset with ability to solve complex problems.
• Experience writing SQL queries and working with relational databases.
• Proficient in Python scripting.
• Independent and collaborative work in fast-paced, agile environment.
• Experience with data warehouses, ODS, or analytics DB.
• Familiarity with Git/GitHub for version control.

Responsibilities

• Perform complex data analysis and assess data quality across datasets.
• Design, maintain, and implement data quality assurance processes and workflows.
• Triage and resolve data quality issues within the Healthcare Map context.
• Support customer issue resolution processes and coordinate with Engineering.
• Contribute to end-to-end data quality monitoring and improvement.

Skills

Healthcare data

Analytical mindset

SQL

Python

Git/GitHub

Data quality

Team collaboration

Independent work

Tools

SQL

Python

GitHub

Job description

We Breathe Life Into Data

At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease.

As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way.

The Opportunity at Komodo Health

Quality is at the heart of everything that Komodo Health does. It is embedded in our vision — reduce the global impact of disease — and the mandate we have as a data and insight provider to leading global healthcare companies. The Data Product Quality team’s mission is to define, build, monitor, and improve the quality of Komodo’s Data Products.

Our data quality analysts support, investigate, and solve tangible data quality issues. You will help triage and solve data anomalies set within the business and analytical context of the Healthcare Map. You will design, maintain, and implement data quality assurance processes, including the daily management of our data issue resolution workflow. Typical tasks include, but are not limited to performing complex data analysis and assessing completeness/consistency/accuracy of data products, supporting the customer issue resolution process, and implementing operational workflows that support end-to-end data quality at Komodo.

Looking back on your first 12 months at Komodo Health, you will have…

• Became an expert with our healthcare datasets, especially data sources for Komodo’s healthcare map
• Effectively partnered with customer-facing teams to reconcile client requirements with the data quality capabilities of KH
• Successfully identified data product bugs that surfaced in a customer’s specific use case and managed their resolution by Engineering
• Incorporated a good understanding of the healthcare datasets at Komodo to implement and improve data quality monitoring for incoming source data

What you bring to Komodo Health:

• Fluent with healthcare data, specifically claims, EHR, and lab data
• Keenly analytical mindset and the ability to solve complex problems with limited supervision
• Experience writing SQL queries and working with Relational Databases AND/OR Proficient in scripting with Python
• Ability to work well both independently and collaboratively, in a fast-paced and demanding agile environment
• Worked with testing data within a data warehouse, ODS or analytics DB
• Comfortable with version control systems such as Git/GitHub

Expectations of AI Use in this role (required):

• Ability to leverage AI tools (Gemini, Claude, Cursor, etc.) to enhance personal productivity, streamline workflows, content and visualization creation.

Nice to have:

• Experience interacting with, managing, or building with AI agentic workflows

Open to remote in any US location or NYC/SF hybrid

#LIRemote

The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands.

The starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy.

San Francisco Bay Area and New York City:

$153,000 — $179,000 USD

All Other US Locations:

$133,000 — $156,000 USD

Komodo's AI Standard

At Komodo, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success.

Join us in shaping the future of healthcare intelligence. Where You’ll Work

Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago. Roles vary — some can be performed from anywhere in the country, others are scoped to a specific region, and some are based near one of our hubs. For hub-based Dragons, we're building intentional in-office rhythms alongside the flexibility that's core to how we work. Whatever your setup, expectations will always be clear before you join.

Equal Opportunity Statement

Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

By submitting your application, you acknowledge that you have read and understand Komodo Health’s Privacy Notice for Employees and Contractors.

This notice explains how we collect, use, and retain applicant data.