Kaiser Permanente
Data Reporting and Analytics Consultant IV, Programming
Kaiser Permanente, Santa Ana, California, United States, 92725
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 a lead role in analyzing and implementing data management, quality control, and reporting needs on multi-programmer projects; and troubleshooting complicated software processes and products.
This position also involves designing complicated automated reporting and data loading solutions; testing data conversions and data integrity from a wide variety of sources across platforms; developing complicated macros for various research and reporting purposes; designing comprehensive quality checking and validation processes; and developing and evaluating complicated data linkage processes.
This position may supervise the work of lower-level team members serving on the same project.
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 the subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring the 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; 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 updates; 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 four (4) years data management experience with SAS, SQL, R or other similar analytical programming language.Minimum five (5) years experience programming 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 in a directly related field may be substituted 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
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This position also involves designing complicated automated reporting and data loading solutions; testing data conversions and data integrity from a wide variety of sources across platforms; developing complicated macros for various research and reporting purposes; designing comprehensive quality checking and validation processes; and developing and evaluating complicated data linkage processes.
This position may supervise the work of lower-level team members serving on the same project.
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 the subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring the 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; 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 updates; 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 four (4) years data management experience with SAS, SQL, R or other similar analytical programming language.Minimum five (5) years experience programming 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 in a directly related field may be substituted 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
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