Healthcare Data Analyst

We’re seeking a skilled Senior Data Analyst to join our team! 

Join our Data Engineering team and help transform complex healthcare claims data into powerful insights that shape business strategy, drive clinical decisions, and support ML and analytics initiatives. You’ll architect data mappings, ensure data integrity, and serve as the go-to expert on claims data—bridging the gap between raw data and actionable outcomes. 

Does this sound like the right opportunity to explore?... Let's connect!

What You’ll Do

• Design and maintain robust data transformations and mappings to convert raw medical claims into standardized canonical models.
• Perform detailed data quality audits to detect, troubleshoot, and resolve issues impacting accuracy and completeness.
• Write and optimize Spark SQL queries to validate data pipelines and support ongoing analytics.
• Document data transformation logic and lineage to ensure transparency and reusability.
• Collaborate cross-functionally with business stakeholders to translate data needs into technical specs.
• Support onboarding of new client data feeds, ensuring smooth integration with minimal disruption.
• Partner with data engineers to build and scale data pipelines, improving performance and reliability.
• Act as a subject matter expert for healthcare claims data—advising on risk, trends, and business impact.
• Work closely with data scientists to enable advanced analytics, ML models, and reporting use cases.
• Troubleshoot ETL workflows and performance issues, driving continuous improvement in data architecture.  

What You Bring 

• Bachelor’s degree in Business, Computer Science, Health Informatics, or a related field.
• 6+ years of experience as a data analyst or business analyst working with large datasets.
• 6+ years of hands-on experience with healthcare claims data (e.g., 837 EDI, medical billing, encounterdata).
• Advanced proficiency in SQL and familiarity working with Spark or similar big data framework will be bonus.
• Solid understanding of data modeling concepts and best practices for analytics. \
• Proven problem-solving skills and attention to detail in complex data environments.
• Strong organizational skills and ability to manage multiple concurrent initiatives.
• Excellent written and verbal communication skills, especially when explaining technical concepts to non-technical stakeholders (e.g., clinicians, account managers, data scientists).
• Self-starter with a strong sense of ownership and accountability

What We Offer  

• Work from anywhere in the US! Machinify is digital-first.  
• Full Medical/Dental/Vision for employees & their families  
• Flexible and trusting environment where you’ll feel empowered to do your best work  
• Unlimited FTO  
• Competitive salary, equity, 401(k) including employer match  

The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. The base salary range for this role is $140k-$170k. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks. 

We’re seeking a skilled Senior Data Analyst to join our team! 

Join our Data Engineering team and help transform complex healthcare claims data into powerful insights that shape business strategy, drive clinical decisions, and support ML and analytics initiatives. You’ll architect data mappings, ensure data integrity, and serve as the go-to expert on claims data—bridging the gap between raw data and actionable outcomes. 

Does this sound like the right opportunity to explore?... Let's connect!

What You’ll Do

• Design and maintain robust data transformations and mappings to convert raw medical claims into standardized canonical models.
• Perform detailed data quality audits to detect, troubleshoot, and resolve issues impacting accuracy and completeness.
• Write and optimize Spark SQL queries to validate data pipelines and support ongoing analytics.
• Document data transformation logic and lineage to ensure transparency and reusability.
• Collaborate cross-functionally with business stakeholders to translate data needs into technical specs.
• Support onboarding of new client data feeds, ensuring smooth integration with minimal disruption.
• Partner with data engineers to build and scale data pipelines, improving performance and reliability.
• Act as a subject matter expert for healthcare claims data—advising on risk, trends, and business impact.
• Work closely with data scientists to enable advanced analytics, ML models, and reporting use cases.
• Troubleshoot ETL workflows and performance issues, driving continuous improvement in data architecture.  

What You Bring 

• Bachelor’s degree in Business, Computer Science, Health Informatics, or a related field.
• 6+ years of experience as a data analyst or business analyst working with large datasets.
• 6+ years of hands-on experience with healthcare claims data (e.g., 837 EDI, medical billing, encounterdata).
• Advanced proficiency in SQL and familiarity working with Spark or similar big data framework will be bonus.
• Solid understanding of data modeling concepts and best practices for analytics. \
• Proven problem-solving skills and attention to detail in complex data environments.
• Strong organizational skills and ability to manage multiple concurrent initiatives.
• Excellent written and verbal communication skills, especially when explaining technical concepts to non-technical stakeholders (e.g., clinicians, account managers, data scientists).
• Self-starter with a strong sense of ownership and accountability

What We Offer  

• Work from anywhere in the US! Machinify is digital-first.  
• Full Medical/Dental/Vision for employees & their families  
• Flexible and trusting environment where you’ll feel empowered to do your best work  
• Unlimited FTO  
• Competitive salary, equity, 401(k) including employer match  

The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. The base salary range for this role is $140k-$170k. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.