Job Summary: In addition to the responsibilities listed below, this position is also responsible for contributing to the publication process by independently writing method and results sections with little review; documenting processes and decision points; and outlining procedures. This position is also responsible for writing and compiling manuals; writing macros and distributable programs; creating advanced statistical models including identifying and addressing when assumptions have been violated; reviewing data for potential error, mistakes, and data quality issues; and breaking approved proposals into process steps.
Essential Responsibilities: - Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers; building relationships with cross-functional stakeholders; influencing others through technical explanations and examples; adapting to competing demands and new responsibilities; listening and responding to, seeking, and addressing performance feedback; providing feedback to others; creating and executing plans to capitalize on strengths and develop weaknesses; supporting team collaboration; and adapting to and learning from change, difficulties, and feedback.
- Completes work assignments and supports business-specific projects by applying expertise in subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating resources to accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions; solving complex problems; escalating high priority issues or risks as appropriate; and recognizing and capitalizing on improvement opportunities.
- Executes creative data analytic approaches leading to actionable outcomes by defining and calculating metrics to be analyzed; defining, calculating, and validating algorithms; and conducting analyses, including descriptive, correlational, inferential, and/or predictive statistics.
- Develops, implements, and automates business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency; evaluating and summarizing data and results; creating summary statistics; developing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; reporting to stakeholders on key findings; identifying needs for the development and implementation of additional reporting solutions; and preparing documentation as appropriate.
- Interprets data analyses by applying findings to contextual settings; and developing insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision making; and providing context related to data interpretations and/or limitations as appropriate.
- Drives strategic 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.
- 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.
- 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.
- Prepares data for analytic efforts by integrating and consolidating data; ensuring data quality and accuracy; profiling data inaccuracies and recommending process improvements or system changes to enhance overall quality of the data; and cleaning and creating final data set(s) for analysis.
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
- Business Planning
- Data Extraction
- Data Mining
- Data Visualization Tools
- Project Management
- Relational Database Management
- Statistical Programming Language
- Written Communication
Minimum Qualifications: - Minimum one (1) year medical or health analytics experience.
- Minimum three (3) years statistical modeling experience using SAS, R, or another advanced statistical package.
- Minimum one (1) year experience in a leadership role with or without direct reports.
- Masters degree in Biostatistics, Statistics, Public Health, Data Science, or related field and Minimum five (5) 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:- One (1) year publications as an author in medical or scientific journals.
- One (1) year experience statistical consulting.
- Two (2) years project management experience.
- Three (3) years experience working with SQL.
- Three (3) years study design experience.
- Three (3) years experience working with SAS.
- Three (3) years experience working with data visualization tools.
- Three (3) years experience working with quality management and data profiling tools.
- Three (3) years experience working with Tableau.
- Three (3) years machine learning experience.
- Three (3) years complex event modeling experience.
- Three (3) years experience working with Open Source Tools (e g , R, Python).
- Three (3) years experience working with data extraction and manipulation language.
- Three (3) years statistical modeling experience.
- Two (2) years experience delivering presentations to management.
- Three (3) years experience working with statistical analysis software.
- Three (3) years experience working with business intelligence tools.
- Doctorate degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field.
- One (1) year experience in transition or change management implementation.
- Three (3) years deep learning experience.
Primary Location: California,Pleasanton,Pleasanton Tech Cntr Building B
Scheduled Weekly Hours: 40
Shift: Day
Workdays: Mon, Tue, Wed, Thu, Fri
Working Hours Start: 08:30 AM
Working Hours End: 05:00 PM
Job Schedule: Full-time
Job Type: Standard
Employee Status: Regular
Worker Location: Flexible
Employee Group/Union Affiliation: NUE-NCAL-09|NUE|Non Union Employee
Job Level: Individual Contributor
Department: Oakland Reg - 2000 Broadway - RI Medical Records_Recharge - 0201
Pay Range: $133100 - $172150 / year Kaiser Permanente strives to offer a market competitive total rewards package and is committed to pay equity and transparency. The posted pay range is based on possible base salaries for the role and does not reflect the full value of our total rewards package. Actual base pay determined at offer will be based on labor market data, internal alignment, and a candidate's years of relevant work experience, education, certifications, skills, and geographic location.
Travel: No
