Name, Title
Why We're Great >
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Name, Title
Why We're Great >
Share the amazing things customers are saying about your business. Double click, or click Edit Text to make it yours.
Name, Title
Why We're Great >
Share the amazing things customers are saying about your business. Double click, or click Edit Text to make it yours.
Santa Barbara Actuaries is now part of Arbital Health. Read More >>
Responsibilities
Develop, maintain, and troubleshoot SQL code for existing production processes
Design and build SQL code for analytics, reporting, and ad-hoc projects
Communicate with internal and external stakeholders to understand technical and business requirements for projects
Optimize SQL code in line with best practices
Identify and resolve technical problems
Test and validate changes
Release new changes in code/data to production environment
Improve upon existing healthcare claims data warehouses
Requirements
SQL Server development experience
Experience with healthcare industry data (claims and eligibility)
Uses best practices and industry knowledge to enhance development
Experience modifying and running scripts used to load, extract, and manipulate data
Strong oral and written communication skills
Preferred
Demonstrated ability to translate tech lingo into laymen’s terms
Azure experience
AWS experience
About the Company
We are a small (~25 person) actuarial, health economics, and data science company that quantifies value creation in healthcare and assists in driving efficiencies in healthcare delivery. In so doing, we play an important role in advancing the Triple Aim of Healthcare: better care for individuals, better health for populations, and lower per capita costs. With over 60 peer reviewed articles and 2 textbooks, we are well published in the space of healthcare predictive analytics and outcomes measurement. Our business control cycle starts with quantifying opportunity for improvements, then moves to retrospectively measuring actual outcomes due to disruptions in the medical ecosystem, and then moves to optimizing those disruptions through the use of big data and predictive analytics. Our clients include medical device companies, care management programs, provider groups, payers, and governments.
As our predictive models have scaled, we’ve recognized the need to add data engineering expertise to our team to assist with managing the data warehouses we’ve built as well as expanding our capabilities in this area.