Overview
On Site
USD 162,900.00 - 210,760.00 per year
Full Time
Skills
Database administration
Customer analysis
Design of experiments
Use cases
Data collection
Data quality
Statistical models
Relationship building
Business intelligence
Data Analysis
Decision-making
Business requirements
End-user training
Process improvement
Machine Learning (ML)
Data Visualization
Statistics
Life sciences
Business planning
Data extraction
Data mining
Vendor management
Project management
Artificial intelligence
Text mining
Deep learning
Health care
Collaboration
Data
Regulatory Compliance
Policies
Testing
Mathematics
Creativity
Analytical skill
Leadership
Metrics
Algorithms
Reporting
Design
Planning
Documentation
Presentations
IMPACT
Training
Software development
Modeling
Management
Negotiations
Communication
SQL
PO
Analytics
AIM
Job Details
Description:
Remote from any KP location in CA, OR, CO, WA, GA, MD, VA, HI or D.C. Only.
** PLEASE NOTE: Salary ranges are geographically based and the posted range reflects the Northen CA region. Lower salary ranges will apply for other labor markets outside of NCAL
Job Summary:
In addition to the responsibilities listed below, this position is also responsible for solving client analytics problems; communicating results and methodologies; developing experimental design approaches to validate findings or test hypotheses; defining validity of information, how long information is meaningful, and relation to other information; working with data steward to ensure information is in compliance with regulatory and security policies; and qualifying where information can be stored or what information may be used in support of the use case. This position is also responsible for identifying and analyzing patterns in the volume of data supporting an initiative, data type, and speed or sudden variations in data collection; partnering with data stewards to define data quality expectation for specific use case; educating the organization both from IT and business perspectives on new approaches to testing hypotheses and statistical validation of results; helping the organization understand principles and math behind the process; and providing on-going tracking and monitoring of performance of decision systems and statistical models.
Essential Responsibilities:
Minimum Qualifications:
Additional Requirements:
Preferred Qualifications:
Primary Location: California,Oakland,1800 Harrison 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: Remote Employee Status: Regular Employee Group/Union Affiliation: NUE-PO-01|NUE|Non Union Employee Job Level: Individual Contributor Specialty: Data Analytics & Reporting Department: Po/Ho Corp - Membership & Market Analytics - 7016 Pay Range: $162900 - $210760 / year The ranges posted above reflect the location in the job posting. The salary range may vary if you reside in a different location or state than the location posted. Travel: No Remote: Work location is the remote workplace (from home) within KP authorized states. Worker location must align with Kaiser Permanente's Authorized States policy. At Kaiser Permanente, equity, inclusion and diversity are inextricably linked to our mission, and we aim to make it a part of everything we do. We know that having a diverse and inclusive workforce makes Kaiser Permanente a better place to receive health care, a more supportive partner in our communities we serve, and a more fulfilling place to work. Working at Kaiser Permanente means that you agree to and abide by our commitment to equity and our expectation that we all work together to create an inclusive work environment focused on a sense of belonging and wellbeing.
Kaiser Permanente is an equal opportunity employer committed to a diverse and inclusive workforce. Applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), age, sexual orientation, national origin, marital status, parental status, ancestry, disability, gender identity, veteran status, genetic information, other distinguishing characteristics of diversity and inclusion, or any other protected status.
Remote from any KP location in CA, OR, CO, WA, GA, MD, VA, HI or D.C. Only.
** PLEASE NOTE: Salary ranges are geographically based and the posted range reflects the Northen CA region. Lower salary ranges will apply for other labor markets outside of NCAL
Job Summary:
In addition to the responsibilities listed below, this position is also responsible for solving client analytics problems; communicating results and methodologies; developing experimental design approaches to validate findings or test hypotheses; defining validity of information, how long information is meaningful, and relation to other information; working with data steward to ensure information is in compliance with regulatory and security policies; and qualifying where information can be stored or what information may be used in support of the use case. This position is also responsible for identifying and analyzing patterns in the volume of data supporting an initiative, data type, and speed or sudden variations in data collection; partnering with data stewards to define data quality expectation for specific use case; educating the organization both from IT and business perspectives on new approaches to testing hypotheses and statistical validation of results; helping the organization understand principles and math behind the process; and providing on-going tracking and monitoring of performance of decision systems and statistical models.
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.
Minimum Qualifications:
- Minimum three (3) years machine learning experience.
- Minimum three (3) years experience working with data visualization tools.
- Minimum three (3) years programming experience.
- Minimum three (3) years statistical analysis and modeling experience.
- 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; Business Planning; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Vendor Management; Project Management
Preferred Qualifications:
- Three (3) years study design experience.
- Three (3) years experience working with artificial intelligence tools.
- Master's degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field.
- Three (3) years experience working with SQL.
- Three (3) years text analytics experience.
- Three (3) years experience working with data visualization tools.
- Three (3) years deep learning experience.
- Three (3) years experience working with data extraction and manipulation language.
- Three (3) years statistical modeling experience.
- Three (3) years experience working with statistical analysis software.
- Three (3) years machine learning experience.
Primary Location: California,Oakland,1800 Harrison 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: Remote Employee Status: Regular Employee Group/Union Affiliation: NUE-PO-01|NUE|Non Union Employee Job Level: Individual Contributor Specialty: Data Analytics & Reporting Department: Po/Ho Corp - Membership & Market Analytics - 7016 Pay Range: $162900 - $210760 / year The ranges posted above reflect the location in the job posting. The salary range may vary if you reside in a different location or state than the location posted. Travel: No Remote: Work location is the remote workplace (from home) within KP authorized states. Worker location must align with Kaiser Permanente's Authorized States policy. At Kaiser Permanente, equity, inclusion and diversity are inextricably linked to our mission, and we aim to make it a part of everything we do. We know that having a diverse and inclusive workforce makes Kaiser Permanente a better place to receive health care, a more supportive partner in our communities we serve, and a more fulfilling place to work. Working at Kaiser Permanente means that you agree to and abide by our commitment to equity and our expectation that we all work together to create an inclusive work environment focused on a sense of belonging and wellbeing.
Kaiser Permanente is an equal opportunity employer committed to a diverse and inclusive workforce. Applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), age, sexual orientation, national origin, marital status, parental status, ancestry, disability, gender identity, veteran status, genetic information, other distinguishing characteristics of diversity and inclusion, or any other protected status.