Statistical Programming Analyst II

BlueCross BlueShield of South Carolina•Columbia, SC

2d•Onsite

About The Position

The position will be responsible for writing SAS, SQL and PYTHON code that reads DB2 tables and other files to support risk adjustment models, creating condition gap reporting, and other files. Quality checking of information is also very important part of position. This position is not eligible for sponsorship now or in the future. This is a full time and fully onsite (40 hours a week Monday-Friday) position located in Columbia, South Carolina. Typical office environment. Some out of town travel.

Requirements

Bachelor's in a job-related field
2 Years statistical programming or statistical interpretation.
Good organizational, customer service, and analytical skills.
Ability to use complex mathematical calculations.
Demonstrated knowledge of mathematical or statistical concepts.
Relevant computer programming skills.
Microsoft Office.

Nice To Haves

Experience with SAS.
Python and/or SQL experience.
Good oral and written communication skills.
Computer systems support knowledge

Responsibilities

Designs, codes, maintain and executes simple to complex database programs for the extraction and presentation of data for standard and ad hoc reporting.
Utilizes statistical programming tools to identify patterns and trends in data.
Assists in sampling design, sample selection, and relevant projections.
Performs statistical validations of sampling and related projections.
Assists with the preparation of charts, illustrations, other graphics and narrative reports to explain findings.
Assists with development of complex statistical analysis, including standard reporting, AD HOC reporting, and data mining tools.
Assists with sophisticated data interpretation, compilation, and verification to guide departmental efforts.
Provides assistance in development of project plans and system life cycle maintenance, development of change requests and test plans impacting existing databases, and in the research of new sources for data.
Verifies data in existing databases and assists in the collection of data and management of existing databases.
Creates supporting documentation outlining procedures within scope of responsibility.