Imagine playing a part in improving population health. That’s exactly what you’ll do when you join Blue Cross’ business intelligence and informatics area. Here, you’ll apply your health care knowledge and your professional research skills to the real world. We’re eager to recruit innovative people who can guide or help support studies into the quality, efficiency and appropriateness of health care services.

Employees within business intelligence and informatics work on a project-by-project basis. The environment is fast-paced and highly technical, offering plenty of opportunities for innovation and a creative approach. In this area, staff members use statistics to answer critical business and health questions, and advise decision-makers on how to evaluate data using rigorous scientific methods.

Business intelligence and informatics encompasses the following activities:

• Analytics — you’ll work closely with the Information Systems team to provide access to our new data warehouse and supply data to employer groups.
• Reporting — this function includes business intelligence reporting and account reporting. It also enables employees and customers to get information from self-service reporting tools.
• Claims data analyses — you’ll do predictive modeling, study plan use, evaluate effects of plan design, and calculate standardized health plan performance measures.
• Statistical, research and program evaluation — you’ll research, analyze and model clinical data involving outcomes utilization using various statistical software. You’ll be called on to answer business questions for the company, integrating what we know into a cohesive business case.

Skills we value

Depending on the position, you may benefit from having an analytic background, good quantitative skills, the demonstrated ability to translate data, and solid project management skills. SAS programmers are often in demand, as are people with advanced degrees in epidemiology, biostatistics, actuarial science or economics.

In general, you should feel comfortable answering questions using claims data, defining data and statistics to a lay audience, and analyzing data to determine meaning and potential.