Kaiser Permanente Data Consultant in Pasadena, California
Under general supervision, this position exists to assist the organization in making strategic data-related decisions by analyzing, manipulating, tracking, internally managing and reporting data. This position functions both as consultant and as a high-level SAS programmer.
Designs and enhances databases.
Designs menu systems that are effective and user-friendly.
Develops reports with accurate, easy to read, useful information.
Designs and generates tracking and monitoring tools.
Participates in the development of outcomes and process measures, including technical specifications, to enable population measurement, guideline implementation, and evaluation.
Builds and maintains complex statistical SAS routines using macros, vendor software, and software written by self and others.
Tests and maintains data integrity across multiple databases (internal SAS, DB2, VSAM; external: Adobe, Excel, SAS parsing routines, COBOL).
Builds sophisticated statistical models and forecasting tools using these databases.
Defines and frames complex multi-dimensional healthcare issues and develops time tables/processes for decision making.
Translates needs, issues, and ideas into effective strategies and action plans.
Formulates specific implementation plans and evaluates the effectiveness of actions/programs implemented.
Develops creative alternative solutions.
Works closely with IT and outside partners (and physicians for SCPMG departments).
May coordinate team/project activities and schedules.
May assist in the determination of goals and priorities with team, clients, or project management sponsors.
May provide leadership to multi-disciplinary project teams.
Communicates results/recommendations to project sponsors, clients, and various senior level audiences (including physicians for SCPMG departments).
Bachelor of Arts degree in economics, finance, health care administration, public health administration, statistics, mathematics, operations research, or four (4) years of experience in a directly related field required.
High School Diploma or General Education Development (GED) required.
License, Certification, Registration
Experience with analytical manipulation and interpretation of large databases required.
Broad familiarity with medical practices, especially population management and process and outcomes measurement preferred.
Knowledge of JCL strongly preferred. Microsoft Office skills preferred.
Very strong analytic and critical thinking skills, writing skills, communication skills, consulting skills, and ability to work within a team.
Ability to express complex analytical and technical information to senior management or to audiences with clinical training.
Must be an independent self-starter.
Must be able to work in a Labor/Management Partnership environment.
Minimum three (3) years programming in SAS, R, SQL, Python or equivalent preferred.
Minimum three (3) years of related analytical consulting experience, healthcare experience preferred.
Experience with SQL, macros, AF, and SASGRAPH, PROC Report and statistical procedures in SAS preferred.
Project management experience strongly preferred.
Experience with MVS/TSO operating systems preferred.
Master's degree preferred
Experience with EPIC Tapestry Claims system preferred.
Experience creating Tableau reports preferred.
Working knowledge of SQL programming.
Direct work experience developing reports dealing with large data sets, aggregating data from multiple data sources, resolving data integrity issues, and performing QA.
Strong customer relations and customer service skills.
Adept at translating business requirements into technical specifications.
Clarity database knowledge is preferred.
Experience with clinical data analysis is preferred.
Crystal report development experience is preferred.
TITLE: Data Consultant
LOCATION: Pasadena, California
External hires must pass a background check/drug screen. Qualified applicants with arrest and/or conviction records will be considered for employment in a manner consistent with Federal, state and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran, or disability status.