The customer is the center of all we do.

Premera is a leading health plan in the Pacific Northwest, providing comprehensive health benefits and tailored services to more than 2 million people, from individuals to Fortune 100 companies. Premera is committed to improving customers’ lives by making healthcare work better.

The company offers innovative health and wellness solutions focused on quality outcomes for patients and controlling costs. The Premera family of companies are based in Mountlake Terrace, Wash., and provide health, life, vision, dental, stop-loss, disability, workforce wellness and other related products and services.

Premera Blue Cross is an Independent Licensee of the Blue Cross Blue Shield Association serving businesses and residents of Alaska and Washington state, excluding Clark County.

As a Healthcare Data Analyst IV, you will collect, process, analyze, compile, and present data to help answer business questions and solve business problems using a variety of healthcare reported data including claims, clinical, pharmacy, lab, healthcare cost, utilization, healthcare management, and clinical research. You will apply advanced statistics and complex mathematical methods to create a wide range of analyses, and translate numbers into plain English and visualizations that can be better used to understand, guide, and support the business. You will use your extensive knowledge and experience with advanced analytics and modeling to solve strategic business problems, and develop solutions to complex or abstract problems ensuring that the solutions are consistent with organizational objectives.

This is a virtual/telecommuter position, working from home.

What you’ll do:

• Develop, design, and deliver complex quantitative models and analytics using visualization, mathematical, and statistical methods to understand and solve complex business problems.
• Analyze and interpret results using advanced statistical tools and techniques to pinpoint trends and patterns in complex data, and provide recommendations for complex business decisions.
• Prepare written documentation on all projects to enable peer review and ensure continuity of data product quality.
• Consult with internal and external customers to access scope and complexity of projects. Develop and maintain computer programs to support various, often complex, analyses, processes, and reports.
• Mentor and train new or more junior analysts regarding concepts, quantitative techniques, and professional skills.
• Automate reported analytic products on large scale data sets and provide design guidance for the development and automation of automated analytical solutions.
• Search and review industry and/or academic literature and identify appropriate quantitative methodologies.

What you’ll bring:

• Bachelor’s Degree in Statistics, Mathematics, Information Systems, Computer Science, Finance, Information Management, Economics or similar quantitative area, or the equivalent of (4) years of work experience in field. (Required)
• (8) years of experience in advanced quantitative analytics tools, methods and processes, data architecture, database design, data transformation, and data management including (5) years of experience with SQL, Python, R, VBA, or other scripting language and (3) years of experience analyzing healthcare related data. (Required)
• Master’s Degree in quantitative science field preferred.
• Advanced skills with advanced analytics tools and methods including multivariate, regressions, random forest, cluster analysis, decision trees, and neural networks.
• Experience using a variety of data and data formats common to the healthcare industry.
• Natural language processing experience preferred.
• Experience with CAHPS data preferred.
• Technical expertise creating data models, database design, data mining, and segmentation.
• Strong knowledge and experience with reporting packages, databases, and programming including predictive analytics and regression models.
• Expert knowledge of mathematical and statistical methods and experience using statistical packages for analyzing datasets.
• Strong analytical skills with ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Adept at queries, reporting, and presenting findings using variety of data visualizations.
• Able to use practical data modeling to build data products.
• Strong working knowledge of medical terminology, medical coding and billing, claims processing procedures and considerations, and clinical data and data requirements.
• Knowledge of data requirements associated with PPI.