Senior Data Integration Analyst

What you’ll do:

Design, implement, and validate data mapping, transformation, and integration solutions across multiple systems and data sources.
Investigate and resolve complex data quality, mapping, and integration issues while ensuring data accuracy and integrity through testing and validation.
Partner with business and technical stakeholders to translate requirements into scalable data solutions.
Create and maintain mapping specifications, technical documentation, and other resources that support data governance and operational excellence.
Identify opportunities to improve data quality, automate processes, and drive operational efficiency.
Serve as a subject matter expert by mentoring analysts, developing training materials, and promoting best practices across the team.
What you’ll need:

Bachelor's degree in a related field or equivalent professional experience.
5+ years of experience in data mapping, data analysis, and data integration.
3+ years of experience working with medical claims data required.
Experience with one or more programming languages, such as SQL, Python, PySpark, or Spark SQL.
Experience working with AWS and complex, multi-source data environments.
Strong understanding of database design, data relationships, transformation logic, and data quality principles.
Proven ability to troubleshoot complex data issues and deliver accurate, scalable solutions.
Strong analytical, communication, and collaboration skills, with the ability to work independently in a fast-paced environment.
Pay & Perks:

💻 Fully remote opportunity with about 5% travel

🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program

📈 401K retirement plan with company match; flexible spending and health savings account

🏝️ Flex Time Off + company holidays

👶 Up to 14 weeks of paid parental leave

🐶 Pet insurance

Interview Process*:

Connect with Talent Acquisition for a Preliminary Phone Screening
Meet your Hiring Manager!
Technical Discussion
Behavioral Interview

Skills Required
Bachelor's degree in a related field or equivalent professional experience
5+ years of experience in data mapping, data analysis, and data integration
3+ years of experience working with medical claims data
Experience with one or more programming languages such as SQL, Python, PySpark, or Spark SQL
Experience working with AWS and complex, multi-source data environments
Strong understanding of database design, data relationships, transformation logic, and data quality principles
Proven ability to troubleshoot complex data issues and deliver accurate, scalable solutions
Strong analytical, communication, and collaboration skills with ability to work independently