R & Python Data Scientist — Analytics Programmer

Kaiser Permanente; Pasadena (CA); On-site; USD 95,000 - 130,000; Full time

Job summary

Kaiser Permanente is seeking a data analytics programmer to support analytical projects. You will work with SAS, SQL, R, Python and SPSS to extract, manipulate, and merge large datasets, build reporting and BI outputs, and support data-informed decision making.

The role involves data management, quality control, and automation of reporting pipelines, with collaboration across teams to ensure timely delivery of analyses and insights.

Qualifications

• Minimum one year experience programming with SAS, SQL, R or similar.
• Bachelor’s degree in Mathematics/Statistics/Engineering/Science or related field or 2+ years in data analytics.

Responsibilities

• Translate business requirements into data analyses and reports.
• Extract, merge, and manage large datasets for analytical projects.
• Create, validate, and automate reporting and BI outputs.
• Collaborate cross-functionally to support decisions with data insights.
• Maintain and troubleshoot data pipelines and analytical tools.

Skills

Data analysis

Cross-functional collaboration

Problem solving

Communication

Education

Bachelor's degree in Mathematics, Statistics, Engineering, or related field

Tools

SAS

SQL

R

Python

SPSS

Job description

Kaiser Permanente is seeking a data analytics programmer to support analytical projects. You will work with SAS, SQL, R, Python and SPSS to extract, manipulate, and merge large datasets, build reporting and BI outputs, and support data-informed decision making.

The role involves data management, quality control, and automation of reporting pipelines, with collaboration across teams to ensure timely delivery of analyses and insights.