Data Analyst IV

Overview

On Site
USD 115,400.00 - 149,270.00 per year
Full Time

Skills

Relationship Building
Collaboration
Presentations
Decision-making
Algorithms
Statistical Models
Testing
End-user Training
Documentation
Data Collection
Training
Analytical Skill
Data Quality
Process Improvement
Leadership
Management
Mathematics
Statistics
Life Sciences
Data Analysis
Negotiations
Data Extraction
Data Visualization
Database Administration
Vendor Management
Delegation
IBM Cognos Analytics
Project Management
Preventive Maintenance
Performance Management
SCAL
LOS
Software Design

Job Details

Job Summary:

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.
  • Bachelors 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
Preferred Qualifications:
  • Two (2) years project management experience.
  • Three (3) years experience working with Cognos.

Primary Location: California,Pasadena,199 S. Los Robles
Scheduled Weekly Hours: 40
Shift: Day
Workdays: Mon, Tue, Wed, Thu, Fri
Working Hours Start: 08:00 AM
Working Hours End: 05:00 PM
Job Schedule: Full-time
Job Type: Standard
Worker Location: Flexible
Employee Status: Regular
Employee Group/Union Affiliation: NUE-SCAL-01|NUE|Non Union Employee
Job Level: Individual Contributor
Department: 199 S LOS ROBLES - Imaging Solution Design - 0806
Pay Range: $115400 - $149270 / year Kaiser Permanente is committed to pay equity and transparency. The posted pay range is based on possible base salaries for the role and does not include the value of our total rewards package. Actual pay determined at offer will be based on years of relevant work experience, education, certifications, skills and geographic location along with a review of current employees in similar roles to ensure that pay equity is achieved and maintained across Kaiser Permanente.
Travel: Yes, 10 % of the Time 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.
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