Job Summary: This individual contributor is primarily responsible for assisting senior employees in supporting data-informed decisions, assisting with data and information gathering for targeted variables in an established systematic fashion, and supporting data preparation for analytic efforts. This position assists with the execution of creative data analytic approaches leading to actionable outcomes, assists with the development, implementation, and automation of business and reporting solutions, 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 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.
- 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 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.
- Assists with the development, implementation, and automation of business and reporting solutions by creating summary statistics; organizing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; identifying opportunities to improve exiting reporting solutions; and preparing documentation as appropriate.
Knowledge, Skills and Abilities: (Core)- Ambiguity/Uncertainty Management
- Attention to Detail
- Business Knowledge
- Communication
- Critical Thinking
- Cross-Group Collaboration
- Decision Making
- Dependability
- Diversity, Equity, and Inclusion Support
- Drives Results
- Facilitation Skills
- Health Care Industry
- Influencing Others
- Integrity
- Learning Agility
- Organizational Savvy
- Problem Solving
- Short- and Long-term Learning & Recall
- Teamwork
- Topic-Specific Communication
Knowledge, Skills and Abilities: (Functional)- Data Mining
- Data Visualization Tools
- Statistical Programming Language
- Written Communication
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.
Preferred Qualifications:- One (1) year statistical modeling experience.
- One (1) year complex event modeling experience.
- One (1) year experience working with Excel.
- One (1) year relational database experience.
- One (1) year experience working with data visualization tools.
- 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 Open Source Tools (e g , R, Python).
- One (1) year study design experience.
- One (1) year experience working with SQL.
Position is for 1-2 years. Continuation is contingent upon contract/grant funding.Primary Location: California,Pleasanton,Pleasanton Tech Cntr Building B
Scheduled Weekly Hours: 40
Shift: Day
Workdays: Mon, Tue, Wed, Thu, Fri
Working Hours Start: 08:30 AM
Working Hours End: 05:00 PM
Job Schedule: Full-time
Job Type: Standard
Worker Location: Flexible
Employee Status: Regular
Employee Group/Union Affiliation: NUE-NCAL-09|NUE|Non Union Employee
Job Level: Individual Contributor
Department: Oakland Reg - 2000 Broadway - RI Medical Records_Recharge - 0201
Pay Range: $84300 - $109010 / year Kaiser Permanente strives to offer a market competitive total rewards package and is committed to pay equity and transparency. The posted pay range is based on possible base salaries for the role and does not reflect the full value of our total rewards package. Actual base pay determined at offer will be based on labor market data, internal alignment, and a candidate's years of relevant work experience, education, certifications, skills, and geographic location.
Travel: No
Flexible: Work location is on-site at a KP location, with the flexibility to work from home. Worker location must align with Kaiser Permanente's Authorized States policy. Kaiser Permanente is an equal opportunity employer committed to fair, respectful, and inclusive workplaces. Applicants will be considered for employment without regard to race, religion, sex, age, national origin, disability, veteran status, or any other protected characteristic or status.
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