Job Title: SAS Senior Business Analyst
NGCI Client: State HealthCare Client
Start Date: October 2023
Terms: Full-time
Duration: 6 months – 960 hours (very good chance to get extended)
Hours Per Week: 40 hours per week. Only 24 hours are billable in the 1st week
Rate: Provide (All-Inclusive)
Client Location: Madison, Wisconsin
Working Arrangement: 100% remote
Working Location: Prefer a local candidate to Madison, WI. Position will be remote
Citizenship Requirements: US Citizen or Green Card or TN
DESCRIPTION AND RESPONSIBILITIES
NGCI is seeking a full-time SAS Senior Business Analyst with strong Health Care domain experience to work with our client, a Health Care client for the State of Wisconsin. The individual in this role will develop healthcare analytics applications and reporting for a Medicaid client who recently implemented the SAS solution as an Enterprise Data Warehouse.
The consultant must have Medicare Claims data processing experience. Partner closely with members of the NGCI team to uncover analytical business needs within the Medicaid client Perform the following:
- Solid standard business analysis skills
- Previous data warehouse experience, specifically focused on ETL
- Healthcare experience, preferably in the government space
- Ability to handle multiple projects at one time (minimum 4/5 but up to 10)
- Examples of possible reporting needs
Solid standard business analysis skills including:
- Requirements gathering and documentation including ETL requirements for new data sources, Report and analytics requirements
- Meeting facilitation
- Understanding business objectives
- Communication skills, both written and verbal
- Quick to catch on to new concepts, ability to “roll with the punches”
- Competent using Visio
- Prefer previous Jira experience
Previous data warehouse experience, specifically focused on ETL:
- Ability to accurately document ETL-based requirements
- Write Technical Design Documentation
- Basic understanding of ETL coding, with SAS being a plus
Examples of possible reporting needs:
- Traditionalost and utilization reporting
- Federal Reports such as CMS-64
- Quality Measures (HEDIS-like measures)
- Program Monitoring, Reporting, and Evaluation for Medicaid programs
QUALIFICATIONS – ESSENTIAL
A minimum of Bachelor’s degree in Mathematics, Computer Science, Business Administration, or a related field is required and equivalent work experience required.
Successful candidates will possess:
The candidate must have experience with Medicare Claims data and large databases.
- Health care industry domain experience, such as; Understanding of claim handling processes, concepts, and industry trends.
- 7+ years of Business Analyst experience.
- Deep experience doing reporting with healthcare claims and eligibility data.
- Knowledge of common acronyms associated with Medicaid and healthcare (FPL, MCO, HMO, managed care, etc.)
- Relevant experience in the Healthcare industry preferred (commercial or govt).
- Lead and/or actively participate in SAS knowledge-sharing activities.
- Be proficient in Base SAS programming (DATA step), SQL programming (i.e., use of SQL pass-through or PROC SQL), as well as the SAS Macro language for use in making code more efficient.
- Good written and spoken communications skills in English and thought-leadership skills.
MAJOR RESPONSIBILTIES/ACTIVITIES
Services may include focus on and require the Consultant to:
- Project experience with efficiently handling and managing massive volumes of data (large SAS Datasets with upwards of tens of millions of records and/or terabytes of data storage).
- Have good oral and written communication skills.
- Lead and/or actively participate in SAS knowledge-sharing activities.
- Demonstrate the ability to work with little direct supervision; Excellent troubleshooting skills; Imaginative, inquisitive, with a self-motivating personality and a strong work ethic; Customer focused demeanor.
- Gathering data requirements and designing/developing the Data Warehouse/ Data Marts.
- Performing analytical and programming activities including analysis, design, development, testing, implementation, and documentation of integrating the data management solutions.