SAS Programming Analyst II

BlueCross BlueShield of South Carolina•Columbia, SC

1d•Onsite

About The Position

As a member of our Statistical Research team, you will develop comprehensive reports and analyzes data in order to identify patterns and trends. Your analytical skills will be used to assist in creating materials that aid in illustrating analytical/data findings. You will also assist with sophisticated data interpretation, compilation, and verification to guide departmental efforts. Here is your opportunity to apply your customer service, organizational and analytical skills; demonstrate your comprehensive knowledge of mathematical or statistical concepts, as well as your ability to use complex mathematical calculations.

Requirements

Bachelor's or Master's degree Statistics/Biostatistics, Mathematics, Computer Science, or another 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

Nice To Haves

Two years of experience with statistical reporting practices.
Two years relational database experience (may be concurrent)
Experience with SAS, SQL, Python, PowerShell, and/or Tableau.
Experience with medical/insurance claims data.
Excellent oral and written communication skills.
This role is heavily reporting focused.

Responsibilities

Design, code, maintain and executes simple to complex database programs for the extraction and presentation of data for standard and ad hoc reporting.
Assist with development of complex statistical analysis, including standard reporting, AD HOC reporting, and data mining tools.
Provide 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.
Verify data in existing databases and assists in the collection of data and management of existing databases.