Healthcare Data Support Engineer

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Requirements:

• At least three years of industry experience working with large-scale databases and leveraging Python and SQL (notably Snowflake for data querying, cleaning, and transformation)
• Advanced Excel skills
• Experience translating analytic insights into PowerPoint or dashboards
• Prior life sciences or other healthcare experience analyzing claims data to inform business decisions
• Strong problem-solving skills and the ability to sniff out, diagnose and resolve technical issues.
• Effective communication skills to collaborate with both technical and non-technical teams
• Deep understanding of the US Healthcare system, through EHR, Claims, or
• Basic understanding of relational databases, SQL and data modeling concepts
• Familiarity with Snowflake’s data warehousing platform and AWS EC2 services
• Basic knowledge of cloud computing principles and best practices

Responsibilities:

• Obtained a deep understanding of Komodo’s Healthcare Map, platform, and suite of products - especially focused deeply on data products
• Developed an understanding of patient-level data and proficiency in our key offering areas, including patient journey, line of therapy, HCP segmentation, and market landscape assessments
• Created and maintained Komodo’s data support multi-tier playbook and knowledge base sourced from inbound customer support requests, and learnings
• Maintained active engagement with stakeholders, including data product management, engineering, and commercial teams as well as our external customers, to resolve time-sensitive and business-critical issues, including follow-up until resolved
• Collaborated with internal data teams for any escalated requests
• Assisted with the ongoing transformation of Komodo’s technical support, service, and maintenance model, to improve effectiveness and efficiencies for all Dragons
• Consolidated learnings often to provide recommendations for Komodo to implement