Kaiser Permanente
Data Reporting and Analytics Consultant II, Programming
Kaiser Permanente, Pleasanton, California, United States, 94566
Job Summary:
In addition to the responsibilities listed below, this position is responsible for programming in analytical programming languages (such as SAS, SQL, SPSS, R, Python, etc.), data management, quality control, and reporting for projects. This includes extracting, manipulating, and merging large databases to create analytical datasets; performing simple analytical tasks using SAS or other analytical tools; maintaining and troubleshooting software and programs; and implementing automated reporting and data loading schemes.
Essential Responsibilities:
Professional Development & Collaboration:
Pursues self-development and fosters effective relationships with coworkers and customers by sharing resources, information, and knowledge; listening, responding to, and seeking feedback; acknowledging strengths and weaknesses; assessing and responding to the needs of others; and adapting to change and learning from feedback. Work Execution:
Completes work assignments by applying current knowledge to meet deadlines; following procedures and policies; supporting projects with data and resources; collaborating cross-functionally to solve business problems; supporting priorities and deadlines; communicating progress; identifying improvement opportunities; and escalating issues as needed. Data Analysis & Reporting:
Assists in interpreting data analysis by organizing and editing reports and presentations to tell a compelling story for stakeholders, enabling informed decision-making. Data-Driven Decision Support:
Supports data-informed decisions by working with clients to identify key business needs, developing outcomes and process measures, translating business requirements, and assisting in data collection and analysis to identify opportunities for efficiency improvements. Data Management:
Assists with data gathering by cleaning, organizing, querying, merging, and updating data; providing user support and documentation. Data Preparation:
Supports data preparation for analytics by ensuring data quality and accuracy, and consolidating data under guidance. Analytic Approaches:
Assists in executing creative analytic approaches, organizing metrics, calculating algorithms, and conducting basic analyses such as descriptive statistics. Reporting Solutions:
Supports development and automation of reporting solutions by creating summaries, visualizations, and interactive reports; identifying improvements; and documenting processes.
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Pursues self-development and fosters effective relationships with coworkers and customers by sharing resources, information, and knowledge; listening, responding to, and seeking feedback; acknowledging strengths and weaknesses; assessing and responding to the needs of others; and adapting to change and learning from feedback. Work Execution:
Completes work assignments by applying current knowledge to meet deadlines; following procedures and policies; supporting projects with data and resources; collaborating cross-functionally to solve business problems; supporting priorities and deadlines; communicating progress; identifying improvement opportunities; and escalating issues as needed. Data Analysis & Reporting:
Assists in interpreting data analysis by organizing and editing reports and presentations to tell a compelling story for stakeholders, enabling informed decision-making. Data-Driven Decision Support:
Supports data-informed decisions by working with clients to identify key business needs, developing outcomes and process measures, translating business requirements, and assisting in data collection and analysis to identify opportunities for efficiency improvements. Data Management:
Assists with data gathering by cleaning, organizing, querying, merging, and updating data; providing user support and documentation. Data Preparation:
Supports data preparation for analytics by ensuring data quality and accuracy, and consolidating data under guidance. Analytic Approaches:
Assists in executing creative analytic approaches, organizing metrics, calculating algorithms, and conducting basic analyses such as descriptive statistics. Reporting Solutions:
Supports development and automation of reporting solutions by creating summaries, visualizations, and interactive reports; identifying improvements; and documenting processes.
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