Description: Job Summary:In addition to the responsibilities listed below, this position is also responsible for solving complex client analytics problems; communicating results and methodologies; developing experimental design approaches; 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 utilizing patterns and variations in the volume, speed and other characteristics of data supporting an initiative, data type, and speed or sudden variations in data collection; developing usage and access control policies and systems in collaboration with the data steward; partnering with data stewards in continuous improvement processes impacting data; ensuring the organization understands principles and math behind the process; and leading on-going tracking and monitoring of performance of decision systems and statistical models.Essential Responsibilities:Practices self-leadership and promotes learning in others by building relationships with cross-functional stakeholders; communicating information and providing advice to drive projects forward; influencing team members within assigned unit; listening and responding to, seeking, and addressing performance feedback; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership and mentoring junior team members; creating and executing plans to capitalize on strengths and develop weaknesses; and adapting to and learning from change, difficulties, and feedback.Conducts or oversees business-specific projects by applying deep expertise in subject area; promoting adherence to all procedures and policies; developing work plans to meet business priorities and deadlines; determining and carrying out processes and methodologies; coordinating and delegating resources to accomplish organizational goals; partnering internally and externally to make effective business decisions; solving complex problems; escalating issues or risks as appropriate; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and evaluating recommendations made by terprets complex 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; participating in peer reviews; and providing context related to data interpretations and/or limitations as appropriate.Leads the development of advanced analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; translating models and gaining stakeholder buy-in for implementation; creating complex models leading to actionable insights; and testing, refining, and validating models.Designs, implements, and automates business and reporting solutions by partnering with stakeholders to advise in their design, planning, and implementation while ensuring consistency and coherency; evaluating and summarizing data and results; creating summary statistics; designing 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.Drives the execution of creative data analytic approaches leading to actionable outcomes across functional areas, business and/or clinical lines by defining and calculating complex metrics to be analyzed; defining, calculating, and validating algorithms; and conducting complex analyses, including descriptive, correlational, inferential, and/or predictive statistics.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; collaborating with stakeholders and source system owners to resolve data quality issues as appropriate; and cleaning and creating final data set(s) for analysis.Gathers data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across internal and external sources; completing routine data refresh and update; developing and/or delivering complex tools for electronic data collection; and providing user training, support, and documentation.Drives strategic data-informed decisions by consulting with clients and leadership to identify and clarify key business needs across functional areas, business and/or clinical lines; developing outcomes and process measures; translating business requirements; determining data/information needs and data collection methods; developing complex analysis plans; evaluating the impact of business decisions on clients, customers, and/or members; partnering with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting and training end-users; and documenting processes and deliverables. Minimum Qualifications: Minimum five (5) years machine learning experience. Minimum five (5) years statistical analysis and modeling experience. Minimum three (3) years experience working with data visualization tools. Minimum five (5) years programming experience. Minimum three (3) years 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 eight (8) 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:Four (4) years experience setting up data architectures.Three (3) years project management experience.Three (3) years deep learning experience.Two (2) years experience delivering presentations to senior management. Primary Location: California,Downey,Downey Boeing - Independence Park Scheduled Weekly Hours: 40 Shift: Day Workdays: Mon, Tue, Wed, Thu, Fri Working Hours Start: 08:00 AM Working Hours End: 04:00 PM Job Schedule: Full-time Job Type: Standard Employee Status: Regular Employee Group/Union Affiliation: NUE-PO-01NUENon Union Employee Job Level: Individual Contributor Specialty: Data Analytics & Reporting Department: Po/Ho Corp - National Rx Programs & Servics - 0308 Pay Range: $155000 - $200640 / 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: Yes, 10 % of the Time 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. Submit Interest Load More

Description: Job Summary: In addition to the responsibilities listed below, this position is also responsible for solving complex client analytics problems; leading the development of experimental design approaches; 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 utilizing patterns and variations in the volume, speed and other characteristics of data supporting an initiative, data type, and speed or sudden variations in data collection; developing usage and access control policies and systems in collaboration with the data steward; partnering with data stewards in continuous improvement processes impacting data quality to define data quality expectation for specific use case; ensuring the organization understands principles and math behind the process; and leading on-going tracking and monitoring of performance of decision systems and statistical models. Essential Responsibilities: <ul><li>Practices self-leadership and promotes learning in others by soliciting and acting on performance feedback; building collaborative, cross-functional relationships; communicating information and providing advice to drive projects forward; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership; influencing, mentoring, and coaching team members; fostering open dialogue amongst team members; evaluating and responding to the strengths and weaknesses of self and unit members; and adapting to and learning from change, difficulties, and feedback.</li><li>Drives the execution of multiple work streams by identifying customer and operational needs; developing and updating new procedures and policies; gaining cross-functional support for objectives and priorities; translating business strategy into actionable business requirements; obtaining and distributing resources; setting standards and measuring progress; removing obstacles that impact performance; guiding performance and developing contingency plans accordingly; solving highly complex issues; and influencing the completion of project tasks by others.</li><li>Leads data and information collection on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across internal and external sources; leading routine data refresh and update; leading the development and/or delivery of highly complex tools for electronic data collection; and providing senior-level user training, support, and documentation.</li><li>Leads data preparation 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; partnering with stakeholders and source system owners to identify root causes and resolve data quality issues as appropriate; and cleaning and creating final data set(s) for analysis.</li><li>Leads and drives the execution of creative data analytic approaches leading to actionable outcomes across functional areas, business and/or clinical lines by reviewing data design and analysis of more junior employees; defining and calculating complex metrics to be analyzed; defining, calculating, and validating algorithms; leading and conducting complex analyses, including inferential and/or predictive statistics.</li><li>Leads the design, roadmap development, implementation, and automation of business and reporting solutions by partnering with key stakeholders to advise in their design, planning, and implementation while ensuring consistency and coherency; reviewing data and results; designing 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 ensuring completion of documentation as appropriate.</li><li>Leads highly complex data analysis interpretation by providing support to team on data interpretation; applying findings to contextual settings; and developing insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision making; leading peer reviews; providing context related to data interpretations and/or limitations as appropriate; and sharing insights with internal and/or external subject matter experts.</li><li>Consults and provides expertise on the development of advanced analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; translating models and gaining stakeholder buy-in for implementation; providing support in the creation of models leading to actionable insights; and testing, refining, and validating models.</li><li>Drives and leads strategic data-informed decisions by consulting with senior-level clients and executive leadership to identify and clarify key business needs across functional areas, business and/or clinical lines; leading the development of outcomes and process measures; translating complex business requirements; determining data/information needs and data collection methods; leading and guiding the development of complex analysis plans; evaluating the impact of business decisions on clients, customers, and/or members; building and leveraging partnerships with clients and staff to identify opportunities and methods to improve efficiencies with analysis; ensuring end-users are supported and trained; and reviewing documentation of processes and deliverables.</li></ul>Minimum Qualifications: <ul><li>Minimum seven (7) years programming experience.</li><li>Minimum three (3) years experience working with data visualization tools.</li><li>Minimum seven (7) years machine learning experience.</li><li>Minimum seven (7) years statistical analysis and modeling experience.</li><li>Minimum five (5) years experience in a leadership role with or without direct reports.</li><li>Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field and Minimum ten (10) 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.</li></ul> Additional Requirements: <ul><li>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</li></ul>Preferred Qualifications: <ul><li>Five (5) years experience setting up data architectures.</li><li>Five (5) years experience creating workflows.</li></ul> 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: 04:00 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 - KP Insight HQAA - 0308 Pay Range: $188500 - $243870 / 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: Yes, 15 % of the Time 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. Submit Interest

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