Machinify is hiring a Sr. Data Analyst to join our Data Engineering team. In this role, you will transform complex healthcare claims data into powerful insights that shape business strategy, drive clinical decisions, and support ML and analytics initiatives. You will 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.
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 specifications.
- 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 We're Looking For
- Bachelor’s degree in Business, Computer Science, Health Informatics, or a related field.
- 3+ years of experience as a data analyst or business analyst working with large datasets.
- 2+ years of hands-on experience with healthcare claims data (e.g., 837 EDI, medical billing, encounter data).
- 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.
- Self-starter with a strong sense of ownership and accountability.
Nice to Have
- Advanced proficiency in SQL and familiarity working with Spark or a similar big data framework.
Technical Stack
- Spark
- SQL
- ETL
Team & Environment
You will be a key member of our Data Engineering team.
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.
