This individual contributor is primarily responsible for driving strategic data-informed decisions,
gathering data and information on targeted variables in an established systematic fashion,
and preparing data for analytic efforts.

This position executes creative data analytic approaches leading to actionable outcomes,
interprets data analyses, and develops analytical and/or statistical models enabling informed business decisions.

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.
• 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.
• 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 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.
• 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.
• 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.

Minimum Qualifications:

• Minimum one (1) year experience in a leadership role with or without direct reports.
• Bachelor’s degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, 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.

Additional Requirements:

• Knowledge, Skills, and Abilities (KSAs): Negotiation; Data Extraction; Data Visualization Tools; Relational Database Management; Vendor Management; Delegation; Project Management

Primary Location: California, Pasadena, 199 S. Los Robles

Hours Per Week: 40

Shift: Day

Workdays: Mon, Tue, Wed, Thu, Fri

Working Hours: 08:00 AM – 05:00 PM

Job Schedule: Full-time

Job Type: Standard

Employee Status: Regular

Employee Group/Union Affiliation: NUE-SCAL-01 | NUE | Non Union Employee

Job Level: Individual Contributor

Job Category: Data Analytics

Department: 199 S LOS ROBLES – Imaging Solution Design – 0806

Travel: Yes, 10% of the Time

Equal Opportunity Statement:

Kaiser Permanente is an equal opportunity employer committed to fair, respectful, and inclusive workplaces. Applicants will be considered for employment without regard to race, religion, sex, age, national origin, disability, veteran status, or any other protected characteristic or status.

Compliance & Conduct:

• Consistently supports compliance and the Principles of Responsibility (Kaiser Permanente’s Code of Conduct) by maintaining the privacy and confidentiality of information, protecting the assets of the organization, acting with ethics and integrity, reporting non-compliance, and adhering to applicable federal, state, and local laws and regulations, accreditation, and licensure requirements (where applicable), and Kaiser Permanente’s policies and procedures.
• Models and reinforces ethical behavior in self and others in accordance with the Principles of Responsibility, adheres to organizational policies and guidelines; supports compliance initiatives; maintains confidences; admits mistakes; conducts business with honesty, shows consistency in words and actions; follows through on commitments.
• Job duties with at least occasional or possible access to: patients, the general public, or other employees; confidential protected health information and other confidential KP information (including employee, proprietary, financial or trade secret information); KP property and assets (e.g., electronic assets, medical instruments, or devices); controlled substances regulated by federal law or potentially subject to diversion.