Data Health Partner

Job not on LinkedIn

🕒 February 20

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Arcadia

201 - 500 employees

💰 $29.5M Venture Round on 2020-01

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. For more information, visit arcadia.io.

📋 Description

• Serve as a technical expert responsible for ensuring data accuracy, validating backend systems, and troubleshooting complex data issues • Query and analyze healthcare datasets to identify data quality issues, inconsistencies, and anomalies • Validate data integrity through backend systems and configuration reviews • Troubleshoot ingestion, transformation, and orchestration failures • Monitor job workflows and diagnose dependency or sequencing conflicts • Deliver assigned technical work within agreed timelines and flag risks early • Partner with the Customer Management team to align technical execution with customer priorities • Support customer discussions when technical clarification is needed • Participate in production support workflows to verify fixes and confirm resolution • Collaborate across Data, Product, R&D, and customer teams to support scalable data solutions and translate technical findings into clear, actionable outcomes • Document investigations clearly and escalate issues when appropriate • Apply structured problem-solving to propose practical, technically sound solutions • Use AI tools to improve efficiency in analysis, troubleshooting, and documentation

🎯 Requirements

• Bachelor’s degree in a STEM or quantitative field, or equivalent experience • Professional experience working with data in a technical or analytical capacity • Proficiency in SQL and experience querying complex relational databases. This role requires strong SQL skills and a proven track record of working with large or complex data environments • Experience analyzing datasets to identify patterns or discrepancies • Strong analytical and problem-solving skills • Comfort leveraging AI tools to improve efficiency and workflows • Ability to operate effectively in a matrixed, cross-functional environment • Clear written and verbal communication skills • Curiosity, attention to detail, and strong desire to grow technically • Typically 2–5 years of relevant experience, though we welcome strong candidates with varied backgrounds

🏖️ Benefits

• The opportunity to change healthcare for the better by integrating and improving critical data that powers population health • The chance to work alongside some of the best minds in healthcare to solve complex, high-impact data challenges • Exposure to a diverse portfolio of healthcare customers focused on modernizing care delivery through data • A collaborative team with deep expertise in population health, data quality, data management, and analytics • A supportive culture that values flexibility while creating opportunities for connection, growth, and professional development • Competitive benefits, including flexible time off

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