Data Quality And Integration Analyst
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Jobs for Humanity
Summary
Join Arcadia's Data Management team as a Data Quality & Integration Analyst and ensure high-quality healthcare data integration for value-based care customers. This role involves learning population health, performing data analysis, and improving data processes. You will collaborate with various teams, including Account Management, Implementation Management, and Data Management. The position offers opportunities for professional growth and development within a supportive and remote-work friendly environment. Success will be measured by your ability to take ownership of data quality and monitoring processes, work independently, and effectively communicate with customers. Arcadia offers competitive compensation and amazing benefits, including flexible time off.
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
Responsibilities
- Gain familiarity with Arcadia’s data monitoring process and data quality tools
- Begin completing data integration implementation tasks with the assistance of a senior data quality & implementation analyst
- Develop cross-team relationships (Account Management, Implementation Management and Data Management)
- Take ownership of data quality and monitoring processes associated with customers
- Complete most data monitoring and data quality tasks with minimal assistance
- Begin contributing to process improvement conversations
- Develop abilities as a subject matter expert in health care data
- Take ownership of key data quality and data monitoring processes
- Work independently in completing data quality and data monitoring tasks for a variety of customers
- Have customer facing conversations independently on a regular basis. Be able to articulate data quality nuances and issues to the customer so that the customer can understand the root cause and any resolution necessary
- Contribute meaningfully to process improvements for the team
- 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
Preferred Qualifications
- 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
- 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
- Competitive compensation
- Amazing benefits including flexible time off (~22 day average)