Data Reporting and Analytics Consultant III, Biostatistics

Kaiser Permanente; Pleasanton (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Kaiser Permanente in Pleasanton, CA seeks a data analytics professional to contribute to publication processes, develop advanced statistical models, and create analytical reports. This role emphasizes data quality, reproducible methods, and cross-functional collaboration.

You will gather data, build tables, validate sources, and communicate actionable insights to stakeholders. A strong foundation in statistics, programming, and BI is required.

Qualifications

• Minimum one year statistical modeling experience using SAS, R, or another advanced statistical package.
• Master's degree requirement and 3+ years in data analytics or related field; equivalent work experience may substitute for the degree.
• Preferred: publications in medical or scientific journals and experience with SAS; data visualization and matrixed organization experience.

Responsibilities

• Contribute to publication processes by drafting methods and results under supervision.
• Gather data, create tables, and interpret data for publication purposes; document processes and decisions.
• Create manual components; write macros and distributable programs; develop advanced statistical models under guidance.
• Review data for quality, identify errors, and ensure data integrity across sources.
• Develop, implement, and automate analytics and reporting solutions with stakeholders.
• Prepare data for analysis by cleaning, profiling, and creating final datasets.
• Translate business needs into analysis plans and measure impact on clients and stakeholders.
• Communicate findings through reports and presentations to enable decision making.
• Support and train end-users and document deliverables.
• Perform descriptive, correlational, inferential, and predictive analyses under supervision.

Skills

Statistical modeling

SAS / R

Data analysis

Data visualization

Communication

Problem solving

Documentation

Mentoring

Cross-functional collaboration

Quality assurance

Process improvement

Python

Education

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

Tools

SAS

R

Python

SQL

Open Source Tools

Data Visualization Tools

Job description

Job Summary

In addition to the responsibilities listed below, this position is also responsible for contributing to the publication process by drafting method and results sections under the guidance of more senior employees; gathering data, creating tables, and interpreting data for publication purposes; documenting processes and decision points; and outlining procedures. This position is also responsible for creating manual components; writing macros and distributable programs; creating advanced statistical models under the guidance of more senior employees, including identifying when assumptions have been violated; reviewing data for potential error, mistakes, and data quality issues; and breaking approved proposals into process steps.

Essential Responsibilities

• Pursues self-development and effective relationships with others by proactively providing resources, information, advice, and expertise with coworkers and customers; influencing others through technical explanations and examples; providing occasional mentoring to team members; listening and responding to, seeking, and addressing performance feedback; creating plans to capitalize on strengths and develop weaknesses; anticipating and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback.
• Completes work assignments by applying up-to-date expertise in subject area to generate creative solutions; ensuring all procedures and policies are followed; leveraging an understanding of data, and resources to support projects or initiatives; collaborating cross-functionally to solve business problems; identifying and monitoring priorities, deadlines, and expectations; communicating progress and information; identifying, recommending, and implementing ways to address improvement opportunities; and escalating issues or risks as appropriate.
• Supports and develops analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; creating models leading to actionable insights; and testing, refining, and validating models.
• Gathers data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across sources; completing routine data refresh and update; developing and/or delivering tools for electronic data collection; and providing user training, support, and documentation.
• Supports data analysis interpretation by applying findings to contextual settings under the guidance of more senior employees; and developing reports and presentations telling a compelling story to stakeholders to enable and influence decision making.
• Develops, implements, and automates business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency; summarizing data and results; creating summary statistics; organizing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; identifying needs for the development and implementation of additional reporting solutions; and preparing documentation as appropriate.
• Prepares data for analytic efforts by consolidating data; reviewing data for quality and accuracy; profiling data inaccuracies; and cleaning and creating final data set(s) for analysis.
• Supports data-informed decisions by consulting with clients to identify and clarify key business needs; developing outcomes and process measures; translating business requirements; determining data/information needs and data collection methods; developing analysis plans; measuring the impact of business decisions on clients, customers, and/or members; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting and training end-users; and documenting processes and deliverables.
• Supports the execution of creative data analytic approaches leading to actionable outcomes by identifying metrics to be analyzed; calculating algorithms; and conducting analyses under the guidance of more senior employees, including descriptive, correlational, inferential, and/or predictive statistics.

Knowledge, Skills and Abilities: (Core)

• Ambiguity/Uncertainty Management
• Attention to Detail
• Business Knowledge
• Communication
• Critical Thinking
• Cross-Group Collaboration
• Decision Making
• Dependability
• Diversity, Equity, and Inclusion Support
• Drives Results
• Facilitation Skills
• Health Care Industry
• Influencing Others
• Integrity
• Learning Agility
• Organizational Savvy
• Problem Solving
• Short- and Long-term Learning & Recall
• Teamwork
• Topic-Specific Communication

Knowledge, Skills and Abilities: (Functional)

• Data Quality
• Health Care Coding
• Internal or External Publication
• Model Creation and Interpretation
• Procedure Manuals and Documentation
• Process Mapping
• Program Writing
• Data Extraction
• Data Mining
• Data Visualization Tools
• Relational Database Management
• Statistical Programming Language
• Written Communication

Minimum Qualifications

• Minimum one (1) year statistical modeling experience using SAS, R, or another advanced statistical package.
• Masters degree in Biostatistics, Statistics, Public Health, Data Science, or related field and Minimum three (3) years experience in data analytics or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement.

Preferred Qualifications

• Two (2) years experience working with data visualization tools.
• One (1) year publications as an author in medical or scientific journals.
• Two (2) years experience working with SAS.
• Two (2) years statistical modeling experience.
• One (1) year experience working in a matrixed organization.
• One (1) year experience delivering presentations to management.
• One (1) year health care experience.
• Two (2) years relational database experience.
• Two (2) years experience working with Open Source Tools (e g , R, Python).
• Two (2) years study design experience.
• Two (2) years experience working with data extraction and manipulation language.
• Two (2) years experience working with business intelligence tools.
• Two (2) years experience working with quality management and data profiling tools.
• Two (2) years experience working with SQL.
• One (1) year experience in process improvement.
• Two (2) years machine learning experience.
• Two (2) years programming experience.
• Two (2) years experience working with statistical analysis software.
• One (1) year experience statistical consulting.
• One (1) year project management experience.