Job Description
This individual contributor is primarily responsible for assisting senior colleagues to support data-informed decisions, assist with data and information gathering for targeted variables in an established systematic fashion, and support data preparation for analytic efforts.
This position assists with the execution of creative data analytic approaches leading to actionable outcomes and assists with data analysis interpretation.
Essential Responsibilities:
- Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers; listening, responding to, and seeking performance feedback; acknowledging strengths and weaknesses; assessing 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 knowledge in subject area to meet deadlines; following procedures and policies and applying data, and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate.
- Assists with data analysis interpretation by organizing and editing reports and presentations telling a compelling story to stakeholders to enable and influence decision making.
- Supports data-informed decisions under the guidance of more senior employees by working with clients to identify and clarify key business needs; assisting in the development of outcomes and process measures; translating business requirements; informing data/information needs and data collection methods; 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 end-users; and documenting processes and deliverables.
- Assists with the execution of creative data analytic approaches leading to actionable outcomes by organizing metrics to be analyzed and calculating algorithms and conducting basic analyses under the guidance of more senior employees, including descriptive statistics.
- Supports data preparation for analytic efforts under the guidance of more senior employees by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.
- Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.
Minimum Qualifications:
- Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field OR Minimum two (2) years experience in data analytics or a directly related field.
Additional Requirements:
- Knowledge, Skills, and Abilities (KSAs): Data Extraction; Data Visualization Tools; Relational Database Management; Project Management
- One (1) year experience working with Business Objects.
- One (1) year experience working with artificial intelligence tools.
This individual contributor is primarily responsible for assisting senior colleagues to support data-informed decisions, assist with data and information gathering for targeted variables in an established systematic fashion, and support data preparation for analytic efforts.
This position assists with the execution of creative data analytic approaches leading to actionable outcomes and assists with data analysis interpretation.
Essential Responsibilities:
- Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers; listening, responding to, and seeking performance feedback; acknowledging strengths and weaknesses; assessing 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 knowledge in subject area to meet deadlines; following procedures and policies and applying data, and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate.
- Assists with data analysis interpretation by organizing and editing reports and presentations telling a compelling story to stakeholders to enable and influence decision making.
- Supports data-informed decisions under the guidance of more senior employees by working with clients to identify and clarify key business needs; assisting in the development of outcomes and process measures; translating business requirements; informing data/information needs and data collection methods; 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 end-users; and documenting processes and deliverables.
- Assists with the execution of creative data analytic approaches leading to actionable outcomes by organizing metrics to be analyzed and calculating algorithms and conducting basic analyses under the guidance of more senior employees, including descriptive statistics.
- Supports data preparation for analytic efforts under the guidance of more senior employees by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.
- Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.
Minimum Qualifications:
- Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field OR Minimum two (2) years experience in data analytics or a directly related field.
Additional Requirements:
- Knowledge, Skills, and Abilities (KSAs): Data Extraction; Data Visualization Tools; Relational Database Management; Project Management
- One (1) year experience working with Business Objects.
- One (1) year experience working with artificial intelligence tools.
About Kaiser Permanente
At Kaiser Permanente, we’re all focused on helping people and providing high-quality, affordable health care services and to improve the health of our members and the communities we serve. Across our organization, we’re fiercely committed to our members, our mission, our communities, and each other. We know that each part of the Kaiser Permanente team is essential to our success. Together, we are more than 235,000 dedicated professionals working to advance Kaiser Permanente’s commitment to delivering a healthier tomorrow.
Driven by our collective passion at Kaiser Permanente, we strive to make health care more innovative and compassionate. With the wellness of our patients and our communities at heart, we work to revolutionize health and care from more than 650 locations in 8 states and D.C.
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