Senior Data Analytics Engineer at Lirio

Position Summary

This is an engineering role focused on data and analytics within Lirio's Data Operations team. This role uses a variety of tools and technologies to work with clinical data and may be customer facing at times. Typical responsibilities include building and refining data models, building and refining automated jobs to transform data, optimizing jobs and queries, and providing data expertise across the organization and to clients.

This role will be remote within the US, or have the option to be hybrid if based in Tennessee. Candidates must reside in the US and be authorized to work in the US without sponsorship.

Data Analytics Development and Engineering (50%)

• 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.

Data Analytics Operations (40%)

• 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.

Evaluation/R&D (10%)

• Collaborate on research and development around clinical data, machine learning features, and other data assets to support organizational objectives.

Education

• Bachelors Degree in related field
• 7+ years of experience

Industry 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

System Experience

• SQL
• Python
• Snowflake or similar managed data warehouses
• Docker
• Airflow
• JavaScript, D3.js, DBT, and/or Observable are helpful, but not required

Other Competencies/skills

• Ability to communicate technical subjects at a variety of levels
• Ability to communicate authoritatively with clients and vendors
• Exceptional problem solving
• Empathy
• Flexibility
• Understanding of ethical use of data
• Understanding of data governance
• Ability to take leadership of initiatives
• Ability to mentor and encourage colleagues

Benefits

• Medical (HSA available) 
• Dental 
• Vision 
• Short-term & long-term disability (company-paid) 
• Life & AD&D (company-paid) 
• 401K with company match 
• 10 paid holidays + holiday week company closure 
• Flexible time off policy 
• Work from home
• Expected Salary Range for the position $125-145k