Data Reporting and Analytics Consultant II, Biostatistics

Kaiser Permanente; Pleasanton, Northern (CA, KY); Hybrid; USD 60,000 - 85,000; Full time

Job summary

Kaiser Permanente in Pleasanton, CA is seeking an entry‑level data analytics professional to contribute to publication‑ready analyses by drafting methods and results sections, extracting and transforming data, creating tables, and interpreting data for publication.

Under senior guidance, you will build macros and small programs, develop basic models, ensure data quality, and translate business questions into analyzable data processes.

Qualifications

• Bachelor's degree in Biostatistics, Statistics, Public Health, Data Science, or related field.
• 2+ years experience in biostatistics or a directly related field.
• Entry-level role focusing on data publication support and data processing workflows.

Responsibilities

• Contributes to publication process by drafting methods and results under guidance.
• Extracts and transforms data, creates tables, and interprets data for publication.
• Documents processes and decision points; outlines procedures.
• Creates manual components; writes macros and distributable programs.
• Develops basic statistical models under supervision and checks assumptions.
• Reviews data for quality, detects errors, and ensures accuracy.
• Translates business requirements into data collection and analysis steps.
• Organizes metrics and conducts basic analyses to support decisions.
• Develops, implements, and automates reporting solutions with documentation.

Skills

Ambiguity/Uncertainty Management

Attention to Detail

Communication

Critical Thinking

Data storytelling

Problem Solving

Teamwork

Learning Agility

Organizational Savvy

Adaptability

Education

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

Tools

Data Visualization Tools

Statistical Programming Language

Program Writing

Job description

Job Summary:

In addition to the responsibilities listed below, this entry level position is also responsible for contributing to the publication process by drafting method and results sections under the guidance of more senior employees; extracting and transforming 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 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 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; and adapting to and learning from change, difficulties, and feedback.
• Completes work assignments by applying up-to-date knowledge in subject area to meet deadlines; following procedures and policies and applying data, and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate.
• Assists with data analysis interpretation by organizing and editing reports and presentations telling a compelling story to stakeholders to enable and influence decision making.
• Supports data-informed decisions under the guidance of more senior employees by working with clients to identify and clarify key business needs; assisting in the development of outcomes and process measures; translating business requirements; informing data/information needs and data collection methods; 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 end-users; and documenting processes and deliverables.
• Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.
• Supports data preparation for analytic efforts under the guidance of more senior employees by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.
• Assists with the execution of creative data analytic approaches leading to actionable outcomes by organizing metrics to be analyzed and calculating algorithms and conducting basic analyses under the guidance of more senior employees, including descriptive statistics.
• Assists with the development, implementation, and automation of business and reporting solutions by creating summary statistics; organizing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; identifying opportunities to improve exiting reporting solutions; and preparing documentation as appropriate.

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
• Internal or External Publication
• Model Creation and Interpretation
• Procedure Manuals and Documentation
• Process Mapping
• Program Writing
• Data Mining
• Data Visualization Tools
• Statistical Programming Language
• Written Communication

Minimum Qualifications:

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

Preferred Qualifications:

• One (1) year publications as an author in medical or scientific journals.
• One (1) year Medical or Health Analytics experience.