Data Quality & Integration Analyst

About the position

The Data Quality & Integration Analyst will be responsible for ensuring data quality and integration for healthcare data, supporting customers in value-based care, and collaborating with various teams. The role involves learning about population health, performing data analysis, and improving data processes. Arcadia is dedicated to happier, healthier days for all. We transform diverse data into a unified fabric for health. Our platform delivers actionable insights for our customers to advance care and research, drive strategic growth, and achieve financial success.

Responsibilities

• Learning population health and developing transferable skills in data monitoring and data quality analysis
• Creating value for Arcadia’s customers by ensuring high quality, high trust data
• Preparing, analyzing, and integrating tens of millions of records of healthcare data
• Supporting our customers’ success in value-based care as well as internal Arcadia teams
• Balancing and delivering data quality and data analysis throughout the implementation of new customers, and during post-implementation monitoring
• Collaborating with talented colleagues – Account Managers, Implementation Managers, and Engineers – to ensure customers have the data they need to improve population health
• Learning new tools and technologies, as Arcadia evolves its technology stack and adopts the latest methodologies and practices in the cloud

Requirements

• Bachelor’s degree in a STEM or quantitative field, or equivalent technical experience
• Ability to query and manipulate relational databases with SQL
• Experience with the principles of data analysis and data quality
• Experience analyzing healthcare data (claims and/or clinical)
• Ability to share data quality analysis results with customers (via Excel and other tools)
• Eagerness to learn, a detail-oriented mindset, and a creative approach to problem solving
• Ability to adapt to changing technology and healthcare environments

Nice-to-haves

• A passion for collaboration and problem solving
• Experience with value-based care models
• Experience in an agile environment
• Experience with the AWS platform, specifically S3
• Advanced SQL skills or familiarity with other languages such as Python or R
• Experience using command line tools such as awk, and the ability to use regular expressions
• Experience using collaboration tools such as Jira and Confluence

Benefits

• Competitive compensation
• Amazing benefits including flexible time off (~22 day average)
• A collaborative team with decades of collective experience in population health, data quality, management, and analysis
• A supportive and remote-work friendly company that provides frequent opportunities for fun and connection, as well as personal and professional development