Data Actuarial Analyst Senior

HealthPartners is hiring a Data Actuarial Analyst Senior.
 

POSITION PURPOSE: 

• To work with Manager and other Actuarial team members on various projects including data investigation, data extraction, and data layouts. 
• Assist Actuarial team members with data integrity issues.
• To insure that the Actuarial department is involved in decisions regarding the various HealthPartners reporting systems as they would impact our data.

 ACCOUNTABILITIES: 

1. Works with team members to validate assumptions and verifies accuracy of core department reports. 
2. Maintains a working knowledge of administrative databases, including key definitions, element names, relational structure, as well as significant caveats and coding systems. 
3. Maintains a working knowledge of core department reports and appropriate application of findings. 
4. Assists in the leading of teams, sub groups, department projects. Actively promotes a work environment that fosters self-directed teams. 
5. Proactively identifies and addresses data quality issues when they arise and serve on data quality teams. 
6. Modifies SQL queries and SAS programs (or other fourth generation program languages as required) to operate core department deliverables and ad-hoc analysis under limited supervision of project lead. 
7. Provides appropriate written and verbal communication to project leads, team members, and manager regarding project status, issue identification and resolution, and analytical results. 
8. Provides coaching in a one-to-one setting on specific technical or analytical skills as needed.
9. Self-manages project tasks through effective and independent work organization. 
10. Demonstrates HealthPartners Core Values: Passion, Integrity, Teamwork and Respect. 
11. Performs other responsibilities as assigned.

 REQUIRED QUALIFICATIONS: 

• BA/BS in mathematics, statistics, health care management, business, economics, finance or related field OR four years related work experience in lieu of degree.
• Five years of experience working on collaborative data analysis projects in a dynamic environment.
• Understanding and willingness to use statistical and other CQI tools and techniques in daily work. 
• Understanding of relational database design and moderate proficiency of data integration and navigation.
• Excellent technical skills including the ability to learn and understand PC programs and databases.
• Ability to produce tabular and graphical displays of data through PC applications.
• Ability to learn technical concepts and basic 4GL programming and basic Business Intelligence Software (Crystal, Business Objects, Access, etc).
• Ability to prioritize and manage time effectively.
• Strong written and verbal communication skills as well the ability to translate customer needs into the data extraction process.

PREFERRED QUALIFICATIONS:

• Familiarity with medical terminology, medical coding systems; ICD-9, CPT4, NDC, GPI.
• SAS, Business Objects, SQL, Crystal, MS Excel and MS Access reporting experience.
• Desktop publishing, graphing, and pivot table experience.

DECISION MAKING:

• Decisions will be made in conjunction with the Team Manager or Project Lead but will be facilitated by presentation of options and scenarios by occupants of this position.