Kaiser Permanente
Data Reporting and Analytics Consultant IV, Programming
Kaiser Permanente, Pleasanton, California, United States, 94566
Position Remote but must reside in Northern California
Job Summary:This position is responsible for overseeing all phases of data management, quality control, and reporting; programming in analytical programming languages (may include SAS, SQL, SPSS, R, Python, etc.); taking lead role in analyzing and implementing data management, quality control, and reporting needs on multi-programmer projects; and troubleshooting complicated software processes and products. Responsibilities also include designing automated reporting and data loading solutions; testing data conversions and integrity from various sources; developing macros for research and reporting; designing quality checking and validation processes; and developing and evaluating data linkage processes. This position may supervise lower level team members serving on the same project.
Essential Responsibilities:Practices self-development and promotes learning in others by providing information, resources, advice, and expertise; building relationships with cross-functional stakeholders; adapting to competing demands; listening and responding to performance feedback; and supporting team collaboration.Completes work assignments and supports business-specific projects by applying expertise; ensuring team follows procedures; coordinating resources; collaborating cross-functionally; solving complex problems; and recognizing improvement opportunities.Executes creative data analytic approaches leading to actionable outcomes by defining and calculating metrics; validating algorithms; and conducting various statistical analyses.Develops, implements, and automates business and reporting solutions by collaborating with stakeholders; evaluating data; creating summary statistics; developing reports; and preparing documentation.Interprets data analyses by applying findings to contextual settings; developing insights and presentations; and providing context related to data interpretations.Drives strategic data-informed decisions by consulting with clients; developing outcomes and process measures; translating business requirements; and documenting processes.Gathers data systematically by validating sources; querying and merging data; completing routine updates; and providing user training and support.Develops analytical models enabling informed business decisions by determining requirements; creating models; and validating them.Prepares data for analytic efforts by integrating data; ensuring quality and accuracy; profiling inaccuracies; and cleaning data sets for analysis.
Minimum Qualifications:Minimum four (4) years data management experience with SAS, SQL, R or other similar analytical programming language.Minimum five (5) years programming experience with SAS, SQL, R or other similar analytical programming language.Minimum one (1) year experience in a leadership role with or without direct reports.Bachelor's 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 may substitute for the degree requirement.
Additional Requirements:Knowledge, Skills, and Abilities (KSAs): Data Integration; SAS Tools; SQL/SAS; Web Report Studio; Negotiation; Business Planning; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Vendor Management; Project Management
#J-18808-Ljbffr
Job Summary:This position is responsible for overseeing all phases of data management, quality control, and reporting; programming in analytical programming languages (may include SAS, SQL, SPSS, R, Python, etc.); taking lead role in analyzing and implementing data management, quality control, and reporting needs on multi-programmer projects; and troubleshooting complicated software processes and products. Responsibilities also include designing automated reporting and data loading solutions; testing data conversions and integrity from various sources; developing macros for research and reporting; designing quality checking and validation processes; and developing and evaluating data linkage processes. This position may supervise lower level team members serving on the same project.
Essential Responsibilities:Practices self-development and promotes learning in others by providing information, resources, advice, and expertise; building relationships with cross-functional stakeholders; adapting to competing demands; listening and responding to performance feedback; and supporting team collaboration.Completes work assignments and supports business-specific projects by applying expertise; ensuring team follows procedures; coordinating resources; collaborating cross-functionally; solving complex problems; and recognizing improvement opportunities.Executes creative data analytic approaches leading to actionable outcomes by defining and calculating metrics; validating algorithms; and conducting various statistical analyses.Develops, implements, and automates business and reporting solutions by collaborating with stakeholders; evaluating data; creating summary statistics; developing reports; and preparing documentation.Interprets data analyses by applying findings to contextual settings; developing insights and presentations; and providing context related to data interpretations.Drives strategic data-informed decisions by consulting with clients; developing outcomes and process measures; translating business requirements; and documenting processes.Gathers data systematically by validating sources; querying and merging data; completing routine updates; and providing user training and support.Develops analytical models enabling informed business decisions by determining requirements; creating models; and validating them.Prepares data for analytic efforts by integrating data; ensuring quality and accuracy; profiling inaccuracies; and cleaning data sets for analysis.
Minimum Qualifications:Minimum four (4) years data management experience with SAS, SQL, R or other similar analytical programming language.Minimum five (5) years programming experience with SAS, SQL, R or other similar analytical programming language.Minimum one (1) year experience in a leadership role with or without direct reports.Bachelor's 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 may substitute for the degree requirement.
Additional Requirements:Knowledge, Skills, and Abilities (KSAs): Data Integration; SAS Tools; SQL/SAS; Web Report Studio; Negotiation; Business Planning; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Vendor Management; Project Management
#J-18808-Ljbffr