Kaiser Permanente
Job Summary
This individual contributor is primarily responsible for supporting data-informed decisions, gathering data and information on targeted variables in an established systematic fashion, and preparing data for analytic efforts.
This position develops, implements, and automates business and reporting solutions and supporting data analysis interpretation.
Essential Responsibilities
Pursues self-development and effective relationships with others by proactively providing resources, information, advice, and expertise with coworkers and customers; influencing others through technical explanations and examples; providing occasional mentoring to team members; listening and responding to, seeking, and addressing performance feedback; creating plans to capitalize on strengths and develop weaknesses; anticipating and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback.
Completes work assignments by applying up-to-date expertise in subject area to generate creative solutions; ensuring all procedures and policies are followed; leveraging an understanding of data, and resources to support projects or initiatives; collaborating cross-functionally to solve business problems; identifying and monitoring priorities, deadlines, and expectations; communicating progress and information; identifying, recommending, and implementing ways to address improvement opportunities; and escalating issues or risks as appropriate.
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.
Prepares data for analytic efforts by consolidating data; reviewing data for quality and accuracy; profiling data inaccuracies; and cleaning and creating final data set(s) for analysis.
Develops, implements, and automates business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency; summarizing data and results; creating summary statistics; organizing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; identifying needs for the development and implementation of additional reporting solutions; and preparing documentation as appropriate.
Supports data analysis interpretation by applying findings to contextual settings under the guidance of more senior employees; and developing reports and presentations telling a compelling story to stakeholders to enable and influence decision making.
Supports 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.
Minimum Qualifications
Bachelors degree in Mathematics, Statistics, Computer Science, Engineering, Social/Physical/Life Science, Business, or related field and Minimum three (3) 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): Data Extraction; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Project Management; Business Planning
Preferred Qualifications
Accredited Project Management Certification.
Accredited Process Improvement Certification.
One (1) year regulatory experience.
One (1) year experience working in a matrixed organization.
One (1) year project management experience.
Two (2) years experience working with quality management and data profiling tools.
Two (2) years text analytics experience.
Two (2) years experience working with SPSS.
Two (2) years experience working with SAS.
Two (2) years experience working with SQL.
Two (2) years statistical modeling experience.
Two (2) years study design experience.
Two (2) years programming experience.
Two (2) years experience working with statistical analysis software.
Two (2) years experience working with data extraction and manipulation language.
Two (2) years experience working with data visualization tools.
Two (2) years experience working with Open Source Tools (e.g., R, Python).
Two (2) years experience working with Tableau.
Two (2) years experience working with Excel.
Primary Location:
Georgia, Atlanta, Regional Office – 10 Piedmont
Scheduled Weekly Hours:
32
Shift:
Day
Workdays:
Mon, Tue, Wed, Thu, Fri,
Working Hours Start:
08:00 AM
Working Hours End:
05:00 PM
Job Schedule:
Part-time
Job Type:
Standard
Worker Location:
Flexible
Employee Status:
Regular
Employee Group/Union Affiliation:
NUE-GA-01|NUE|Non Union Employee
Job Level:
Individual Contributor
Department:
Regional Office – 9 Piedmont – MedFac-Educ & Training-In Svc – 2808
Pay Range:
$62960 – $81400 / 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
Flexible:
Work location is on-site at a KP location, with the flexibility to work from home. Worker location must align with Kaiser Permanente’s Authorized States policy. 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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This position develops, implements, and automates business and reporting solutions and supporting data analysis interpretation.
Essential Responsibilities
Pursues self-development and effective relationships with others by proactively providing resources, information, advice, and expertise with coworkers and customers; influencing others through technical explanations and examples; providing occasional mentoring to team members; listening and responding to, seeking, and addressing performance feedback; creating plans to capitalize on strengths and develop weaknesses; anticipating and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback.
Completes work assignments by applying up-to-date expertise in subject area to generate creative solutions; ensuring all procedures and policies are followed; leveraging an understanding of data, and resources to support projects or initiatives; collaborating cross-functionally to solve business problems; identifying and monitoring priorities, deadlines, and expectations; communicating progress and information; identifying, recommending, and implementing ways to address improvement opportunities; and escalating issues or risks as appropriate.
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.
Prepares data for analytic efforts by consolidating data; reviewing data for quality and accuracy; profiling data inaccuracies; and cleaning and creating final data set(s) for analysis.
Develops, implements, and automates business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency; summarizing data and results; creating summary statistics; organizing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; identifying needs for the development and implementation of additional reporting solutions; and preparing documentation as appropriate.
Supports data analysis interpretation by applying findings to contextual settings under the guidance of more senior employees; and developing reports and presentations telling a compelling story to stakeholders to enable and influence decision making.
Supports 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.
Minimum Qualifications
Bachelors degree in Mathematics, Statistics, Computer Science, Engineering, Social/Physical/Life Science, Business, or related field and Minimum three (3) 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): Data Extraction; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Project Management; Business Planning
Preferred Qualifications
Accredited Project Management Certification.
Accredited Process Improvement Certification.
One (1) year regulatory experience.
One (1) year experience working in a matrixed organization.
One (1) year project management experience.
Two (2) years experience working with quality management and data profiling tools.
Two (2) years text analytics experience.
Two (2) years experience working with SPSS.
Two (2) years experience working with SAS.
Two (2) years experience working with SQL.
Two (2) years statistical modeling experience.
Two (2) years study design experience.
Two (2) years programming experience.
Two (2) years experience working with statistical analysis software.
Two (2) years experience working with data extraction and manipulation language.
Two (2) years experience working with data visualization tools.
Two (2) years experience working with Open Source Tools (e.g., R, Python).
Two (2) years experience working with Tableau.
Two (2) years experience working with Excel.
Primary Location:
Georgia, Atlanta, Regional Office – 10 Piedmont
Scheduled Weekly Hours:
32
Shift:
Day
Workdays:
Mon, Tue, Wed, Thu, Fri,
Working Hours Start:
08:00 AM
Working Hours End:
05:00 PM
Job Schedule:
Part-time
Job Type:
Standard
Worker Location:
Flexible
Employee Status:
Regular
Employee Group/Union Affiliation:
NUE-GA-01|NUE|Non Union Employee
Job Level:
Individual Contributor
Department:
Regional Office – 9 Piedmont – MedFac-Educ & Training-In Svc – 2808
Pay Range:
$62960 – $81400 / 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
Flexible:
Work location is on-site at a KP location, with the flexibility to work from home. Worker location must align with Kaiser Permanente’s Authorized States policy. 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.
#J-18808-Ljbffr