Kaiser Permanente
Data Reporting and Analytics Consultant III - Sales Analytics, (Georgia)
Kaiser Permanente, Atlanta, Georgia, United States, 30383
Data Reporting and Analytics Consultant III – Sales Analytics (Georgia)
Remote from any KP location in CA, OR, CO, WA, GA, MD, VA, HI or D.C. Only.
Overview This position is part of a high performing data analytics team, directly supporting KP's growth in today’s highly competitive environment. The successful candidate will work in a highly collaborative environment, partner with a wide range of business functions (such as sales and account management, underwriting, marketing, sales enablement and other national functions) to answer the “what‑, “so what‑” and “now what‑” questions using advanced analytical tools. The business clients we support range from individual sellers to the most senior executives.
The successful candidate has an extraordinary level of curiosity, intense drive to learn and have impact, strong interest in understanding the business, exceptional technical and analytical skills that include but are not limited to proficient data manipulation skills (SQL, Tableau Prep), data visualization and storytelling (Tableau or Power BI), statistical analysis and communication skills.
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 supports the execution of creative data analytic approaches leading to actionable outcomes, develops, implements, and automates business and reporting solutions, supports data analysis interpretation, and supports and develops analytical and/or statistical models enabling informed business decisions.
Essential Responsibilities
Proactively provides resources, information, advice, and expertise to coworkers and customers; influences others through technical explanations and examples; provides occasional mentoring; listens and responds to performance feedback; creates plans to capitalize on strengths and develop weaknesses; anticipates and responds to the needs of others; adapts to and learns from change, difficulties, and feedback.
Completes work assignments by applying up‑to‑date expertise to generate creative solutions; ensures all procedures and policies are followed; leverages an understanding of data and resources to support projects or initiatives; collaborates cross‑functionally to solve business problems; identifies and monitors priorities, deadlines, and expectations; communicates progress and information; recommends and implements ways to address improvement opportunities; escalates issues or risks as appropriate.
Supports and develops analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; creating models leading to actionable insights; testing, refining, and validating models.
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.
Supports data analysis interpretation by applying findings to contextual settings under the guidance of more senior employees; develops reports and presentations telling a compelling story to stakeholders to enable and influence decision making.
Develops, implements, and automates business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency; summarizes data and results; creates summary statistics; organizes data reports, visualizations, and/or interactive BI reports; identifies needs for the development and implementation of additional reporting solutions; prepares documentation as appropriate.
Prepares data for analytic efforts by consolidating data; reviewing data for quality and accuracy; profiling data inaccuracies; cleaning and creating final data set(s) for analysis.
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.
Supports execution of creative data analytic approaches leading to actionable outcomes by identifying metrics to be analyzed; calculating algorithms; and conducting analyses under the guidance of more senior employees, including descriptive, correlational, inferential, and/or predictive statistics.
Minimum Qualifications
Bachelor's degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or a related field and a minimum of three (3) years experience in data analytics or a directly related field. Additional equivalent work experience may be substituted for the degree requirement.
Additional Requirements
Knowledge, Skills, and Abilities (KSAs): Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Project Management; Business Planning.
Preferred Qualifications
One year experience working in a matrixed organization.
One year experience delivering presentations to management.
Two years experience working with SQL.
Two years programming experience.
Two years experience working with statistical analysis software.
Two years experience working with data extraction and manipulation language.
Two years experience working with data visualization tools.
Two years experience working with Open Source Tools (e.g., R, Python).
Two years experience working with Tableau.
Two years experience working with Excel.
Master's degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or a related field.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology
Industries Hospitals and Health Care
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Overview This position is part of a high performing data analytics team, directly supporting KP's growth in today’s highly competitive environment. The successful candidate will work in a highly collaborative environment, partner with a wide range of business functions (such as sales and account management, underwriting, marketing, sales enablement and other national functions) to answer the “what‑, “so what‑” and “now what‑” questions using advanced analytical tools. The business clients we support range from individual sellers to the most senior executives.
The successful candidate has an extraordinary level of curiosity, intense drive to learn and have impact, strong interest in understanding the business, exceptional technical and analytical skills that include but are not limited to proficient data manipulation skills (SQL, Tableau Prep), data visualization and storytelling (Tableau or Power BI), statistical analysis and communication skills.
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 supports the execution of creative data analytic approaches leading to actionable outcomes, develops, implements, and automates business and reporting solutions, supports data analysis interpretation, and supports and develops analytical and/or statistical models enabling informed business decisions.
Essential Responsibilities
Proactively provides resources, information, advice, and expertise to coworkers and customers; influences others through technical explanations and examples; provides occasional mentoring; listens and responds to performance feedback; creates plans to capitalize on strengths and develop weaknesses; anticipates and responds to the needs of others; adapts to and learns from change, difficulties, and feedback.
Completes work assignments by applying up‑to‑date expertise to generate creative solutions; ensures all procedures and policies are followed; leverages an understanding of data and resources to support projects or initiatives; collaborates cross‑functionally to solve business problems; identifies and monitors priorities, deadlines, and expectations; communicates progress and information; recommends and implements ways to address improvement opportunities; escalates issues or risks as appropriate.
Supports and develops analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; creating models leading to actionable insights; testing, refining, and validating models.
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.
Supports data analysis interpretation by applying findings to contextual settings under the guidance of more senior employees; develops reports and presentations telling a compelling story to stakeholders to enable and influence decision making.
Develops, implements, and automates business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency; summarizes data and results; creates summary statistics; organizes data reports, visualizations, and/or interactive BI reports; identifies needs for the development and implementation of additional reporting solutions; prepares documentation as appropriate.
Prepares data for analytic efforts by consolidating data; reviewing data for quality and accuracy; profiling data inaccuracies; cleaning and creating final data set(s) for analysis.
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.
Supports execution of creative data analytic approaches leading to actionable outcomes by identifying metrics to be analyzed; calculating algorithms; and conducting analyses under the guidance of more senior employees, including descriptive, correlational, inferential, and/or predictive statistics.
Minimum Qualifications
Bachelor's degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or a related field and a minimum of three (3) years experience in data analytics or a directly related field. Additional equivalent work experience may be substituted for the degree requirement.
Additional Requirements
Knowledge, Skills, and Abilities (KSAs): Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Project Management; Business Planning.
Preferred Qualifications
One year experience working in a matrixed organization.
One year experience delivering presentations to management.
Two years experience working with SQL.
Two years programming experience.
Two years experience working with statistical analysis software.
Two years experience working with data extraction and manipulation language.
Two years experience working with data visualization tools.
Two years experience working with Open Source Tools (e.g., R, Python).
Two years experience working with Tableau.
Two years experience working with Excel.
Master's degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or a related field.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology
Industries Hospitals and Health Care
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