Biostatistics Data Analytics Consultant II

Kaiser Permanente; Pleasanton (CA); On-site; USD 90,000 - 120,000; Full time

Job summary

Kaiser Permanente is seeking an entry level Data Reporting and Analytics professional in Pleasanton, CA to contribute to publication processes, draft method and results, and develop data-driven insights under guidance. The role involves data extraction, creating tables, macros, and basic statistical models, with emphasis on documentation and process improvement.

The position supports data-informed decision making, collaborates with stakeholders, and helps translate business needs into measurable

Qualifications

• Bachelor's degree in Biostatistics, Statistics, Public Health, Data Science, or related field and 2+ years experience in biostatistics or a directly related field.

Responsibilities

• Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers; listening, responding to, and seeking performance feedback; acknowledging strengths and weaknesses; assessing and responding to the needs of others; adapting to change.

Skills

Ambiguity management

Attention to detail

Business knowledge

Communication

Critical thinking

Cross-group collaboration

Decision making

Dependability

Diversity inclusion

Drives results

Facilitation

Health care industry

Influencing others

Integrity

Learning agility

Organizational savvy

Problem solving

Teamwork

Communication of topic-specific info

Education

Bachelor's degree in Biostatistics, Statistics, Public Health, Data Science, or related field

Tools

Data Visualization Tools

SQL

Statistical programming language

Data mining

Data extraction language

Program writing

Job description

Kaiser Permanente is seeking an entry level Data Reporting and Analytics professional in Pleasanton, CA to contribute to publication processes, draft method and results, and develop data-driven insights under guidance. The role involves data extraction, creating tables, macros, and basic statistical models, with emphasis on documentation and process improvement.

The position supports data-informed decision making, collaborates with stakeholders, and helps translate business needs into measurable