Care Management Data Analyst

Description

• The tasks including data quality assurance, process programming, specification documentation and report developing.
• The position applies technical skills to design, develop, and generate ad hoc or production reports that may evolve into complex data analysis/data integration projects that this position may be responsible for maintaining.
• The complex data analysis/integration projects are those which may require periodic maintenance on a weekly, monthly, quarterly, biannual, or annual basis.
• The position works with Information Systems analysts and Health Outcome & Analysis staff when ongoing reports can be accurately transferred for production.
  The position interprets and documents both written and verbal specifications.
• The position takes basic instructions or specifications from appropriate CM staff responsible for delivering CM performance data in order to obtain complete details sufficient for writing data queries based for ad hoc and ongoing health care measures.
• The position must comprehend the relationships between the field elements in encounters and claims, membership, and provider databases.
• The position supports the functions related to quality improvement activities inclusive of ad hoc, monthly or quarterly reports that demonstrate health care outcomes in comparison to targets or national averages/percentiles published by recognized organizations
• For the projects directly assigned to the Data Analyst, he/she will also perform project specific tasks, including data management, data analytics, project coordination, technical documentation maintenance report write-up as well .

• 4 year college with course training in health sciences, information systems, mathematics, statistics or related fields is required.
• At least one year of health care experience or equivalent academic experience is required
• Preferred: Masters degree in related fields

• Proficiency skills using MS Access, Excel, and Word software
• Basic SAS programming skills
• Demonstrated ability to use relational databases for the purpose of generating ad hoc reports
• The ability to work well in collaboratively with positions having professional backgrounds in the technical and/or clinical fields in order to achieve job duties and departmental objectives and responsibilities for the position
• Must demonstrate the ability to work independently and seek solutions proactively.
• Able to apply critical thinking in evaluating priorities/solutions
• Must demonstrate the ability to analyze dataset in relational database environment.
• Relevant project coordination/management experience is preferred
• Analytic skills include the ability to identify data aberrations and recognize data patterns that impact quality.
• Must be able to present data in a format that is appropriate for analysis.
• This includes the ability to determine select the correct information for calculating basic rates, table configuration, and graphical presentations.
• Must demonstrate an aptitude in learning and expanding abilities to use new applications with basic training.
• Must be a self-starter and demonstrate the ability to multi-task and take charge and accountability of projects assigned.
• Must be able to make recommendations to the report requestor that demonstrate strengths and limitations of the organization's ability to meet the request.
• Must be able to apply and/or develop technical specifications for health care measures such as those used by CMS, DHCS, NCQA and others as identified.
• Must demonstrate appropriate SAS skills in developing programs and procedures for analytics and quality assurance.

• Medium SAS programming skills
• At least two years work experience in health plan
• Past work with membership, provider, and claims encounter/claims
• Previous experience with report generation using health care data with focus on elements from encounter/claims, membership, and provider data
• Demonstrated ability to take responsibility for making sure requested projects meet the client's needs with respect to data accuracy, format, and timeliness