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Description:
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.
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.
Additional Requirements:
- Knowledge, Skills, and Abilities (KSAs): Internal or External Publication; Data Quality; Model Creation and Interpretation; Procedure Manuals and Documentation; Health Care Coding; Process Mapping; Program Writing; Negotiation; Business Planning; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Vendor Management; Project Management.
Preferred Qualifications:
- Two (2) years project management experience.
- Three (3) years experience working with statistical analysis software.
- Three (3) years programming experience.
- Two (2) years experience delivering presentations to management.
- One (1) year health care experience.
- Three (3) years experience working with data extraction and manipulation language.
- Three (3) years experience working with artificial intelligence tools.
- Three (3) years study design experience.
- Three (3) years statistical modeling experience.
- Three (3) years complex event modeling experience.
- Three (3) years deep learning experience.
- Three (3) years machine learning experience.
- Three (3) years text analytics experience.
- Three (3) years experience working with data visualization tools.
- Three (3) years experience working with Open Source Tools (e.g., R, Python).
- Three (3) years experience working with Access.
- Three (3) years experience working with Excel.
- Three (3) years experience working with SAS.
- Three (3) years experience working with SQL.
Primary Location:
California, Oakland, 2000 Broadway
Scheduled Weekly Hours:
40
Shift:
Day
Workdays:
Mon, Tue, Wed, Thu, Fri
Working Hours Start:
09:00 AM
Working Hours End:
05:30 PM
Job Schedule:
Full-time
Job Type:
Standard
Employee Status:
Regular
Employee Group/Union Affiliation:
NUE-NCAL-09|NUE|Non Union Employee
Job Level:
Individual Contributor
Specialty:
Data Analytics & Reporting
Department:
Oakland Reg - 2000 Broadway - RI Medical Records_Recharge - 0201
Pay Range:
$124400 - $161040 / 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
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.
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