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:

• Works with team members to validate assumptions and verifies accuracy of core department reports.

• Maintains a working knowledge of administrative databases, including key definitions, element names, relational structure, as well as significant caveats and coding systems.

• Maintains a working knowledge of core department reports and appropriate application of findings.

• Assists in the leading of teams, sub groups, department projects. Actively promotes a work environment that fosters self-directed teams.

• Proactively identifies and addresses data quality issues when they arise and serve on data quality teams.

• 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.

• Provides appropriate written and verbal communication to project leads, team members, and manager regarding project status, issue identification and resolution, and analytical results.

• Provides coaching in a one-to-one setting on specific technical or analytical skills as needed.

• Self-manages project tasks through effective and independent work organization.

• Demonstrates HealthPartners Core Values: Passion, Integrity, Teamwork and Respect.

• 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.