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Information Technology

Senior Consulting Data Analyst - R, SAS,Linux, LaTex

Location: Oakland, CA Job Number: 897300 Date posted: 09/23/2020

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Description:
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 a senior analyst and as a high-level statistical analytics programmer.

Essential Functions:
- Designs and enhances databases.
- Designs effective and user-friendly menu systems.
- Develops accurate, easy to read, and useful information reports.
- 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.
- Tests complex statistical routines using macros, vendor software, and software written by self and others.
- Tests and maintains data integrity.
- May assist with sophisticated statistical models and forecasting tools using these databases.
- Assists with the definition of complex multi-dimensional healthcare issues and develops time tables/processes for decision making.
- May translate needs, issues, and ideas into effective strategies and action plans.
- May formulate specific implementation plans and evaluates the effectiveness of actions/programs implemented.
- Develops creative alternative solutions.
- May assist in the determination of goals and priorities with team, clients, or project management sponsors.
- May communicate results/recommendations to project sponsors, clients, and various senior level audiences (including physicians for TPMG departments).

Basic Qualifications:
Experience
- Three (3) years of programming in SAS, SQL, VBA, net, or equivalent statistical analytical programming language.
- Minimum two (2) or more years of related analytical consulting experience.
Education
- Bachelor's degree in economics, finance, health care administration, public health administration, statistics, mathematics, operations
research, or related field required OR four (4) years of experience in a directly related field.
- High School Diploma or General Education Development (GED) required.
Licenses, Certifications, Registrations
- N/A.

 

Additional Requirements:
- Experience mainframe operating systems.
- Microsoft Office skills required.
- 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.

 

Preferred Qualifications:
- Analytical consulting experience in the healthcare field preferred.
- Experience with MVS/TSO operating systems preferred.
- Experience with analytical manipulation and interpretation of large databases preferred.
- Project management experience preferred.
- Master's degree preferred.
- Broad familiarity with medical practices, especially population management and process and outcomes measurement  preferred.
- Knowledge of JCL strongly preferred.

- Design, implement, document, test, and maintain user-friendly R software to manipulate, analyze, and simulate complex longitudinal data

- Understand, validate/debug and improve R code written by others

- Ensure tasks are completed accurately and on time

- Communicate programming progress and obstacles requiring input/support from team members

- Develop documentation and reports of results with accurate, easy to read, useful information

 

 

  

 

 NOTE:

The ideal candidates will have:

 

Experience with parallel computing and package development in R within a Linux environment. Experience writing documents with LaTeX and using version control systems (e.g. Git). Experience with multivariate regression analysis and statistical modeling of longitudinal healthcare data. Experience in programming algorithms described in technical documents that use mathematical notation. Prior experience with prediction using machine learning and/or causal modeling is a plus.

 

Expertise extracting and analyzing Kaiser Permanente data is a plus.

 

Experience in chronic conditions is preferred.

 

 

Primary Location: California,Oakland,2000 Broadway 2000 Broadway Scheduled Weekly Hours: 40 Shift: Day Workdays: Mon, Tue, Wed, Thu, Fri Working Hours Start: 8:30 AM Working Hours End: 5:30 PM Job Schedule: Full-time Job Type: Standard Employee Status: Regular Employee Group/Union Affiliation: Salaried, Non-Union, Exempt Job Level: Individual Contributor Job Category: Information Technology Department: Div of Research Travel: Yes, 5 % of the Time Kaiser Permanente is an equal opportunity employer committed to a diverse and inclusive workforce. Applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), age, sexual orientation, national origin, marital status, parental status, ancestry, disability, gender identity, veteran status, genetic information, other distinguishing characteristics of diversity and inclusion, or any other protected status.

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 and state laws, as well as applicable local ordinances, including but not limited to the San Francisco and Los Angeles Fair Chance Ordinances.

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