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
- Bachelor’s 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.
- In lieu of degree, addition three (3) years experience required for a total of five (5) years
- A minimum of 6 months working experience in the following areas below:
- SQL
- TOAD
- Power BI
- Alteryx
- Tableau
- Access
- A minimum of 2 years experience utilizing Excel. Intermediate level. Program graphical functions to display data.
Additional Requirements
- Knowledge, Skills, and Abilities (KSAs): Data Extraction; Data Visualization Tools; Relational Database Management; Project Management
Preferred Qualifications
- One (1) year experience working with Business Objects.
- One (1) year experience working with artificial intelligence tools.
- One (1) year experience working with business intelligence tools.
- One (1) year experience working with Open Source Tools (e g , R, Python).
- One (1) year experience working with Excel.
- One (1) year experience working with Access.
- One (1) year experience working with Cognos.
- One (1) year text analytics experience.
- One (1) year experience working with Tableau.
- One (1) year machine learning experience.
- One (1) year deep learning experience.
- One (1) year network analysis experience.
- One (1) year experience working with SPSS.
- One (1) year data simulation experience.
- One (1) year study design experience.
- One (1) year pharmacy data analytics experience.
- One (1) year statistical modeling experience.
- One (1) year complex event modeling experience.
- One (1) year robotic process automation experience.
- One (1) year experience working with SQL.
- One (1) year experience working with quality management and data profiling tools.
- One (1) year server maintenance experience.
- One (1) year relational database experience.
- One (1) year experience working with data extraction and manipulation language.
- One (1) year experience working with statistical analysis software.
- One (1) year programming experience.
- One (1) year experience working with SAS.
- Successful completion of a Kaiser Permanente collegiate internship program.
- Accredited Process Improvement Certification.
Benefits
- Transportation.
- Life insurance.
- Medical insurance.
- Solidarity association.
- Growth plans.
- Additional days off.
K2