Senior Data Analytics Engineer

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Requirements:

• Bachelors Degree in related field
• 7+ years of experience
• 5+ years of experience creating data analytics methods and tools
• Experience in a senior technical role
• Experience working in healthcare and with healthcare data
• Experience operating systems in regulated environments, adhering to standards such as SOC 2 Type 2 and HITRUST
• Experience working with domain experts to analyze complex datasets
• Knowledge of software engineering and data modeling best practice
• SQL
• Python
• Snowflake or similar managed data warehouses
• Docker
• Airflow
• JavaScript, D3.js, DBT, and/or Observable are helpful, but not required

Responsibilities:

• Collaborates internally and externally to understand technical questions that drive analytic requirements, understand ways to answer technical questions or reporting needs by instrumenting and analyzing Lirio’s Behavior Change AI platform, and understand insight and reporting requirements for verifying and validating the efficacy of the Lirio solution(s).
• Develop and support tools facilitating self-service by internal and external users.
• Owns the analytics engineering implementation at Lirio, assuring operation of the analytics pipelines, quality in data and reporting artifacts and developing improvements to meet client and market needs.
• Provide expertise and guidance to clients, vendors, and internal teams for Data Analytics initiatives and strategies.
• Guide the design, implementation, and performance of various data analytics processes including report generation, agent insights, and various aspects of client onboarding.
• Collaborate with the data engineering team around requirements, timing, quality, etc.
• Support team efforts around observability and SLAs.
• Collaborate on research and development around clinical data, machine learning features, and other data assets to support organizational objectives.