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Kaiser Permanente · 16 hours ago

Data Reporting and Analytics Consultant II, Biostatistics (Funded 1-2yr. Durational)

Pleasanton, CA

Full-time

Onsite

Entry Level

2+ years exp

Kaiser Permanente is seeking a Data Reporting and Analytics Consultant II in Biostatistics. The role involves assisting with data analysis, creating statistical models, and supporting data-informed decisions under the guidance of senior employees, while also contributing to the publication process.

Health CareHospitalMental HealthNon ProfitPersonal Health

Comp. & Benefits

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

Qualification

BiostatisticsStatistical Programming LanguageData Visualization ToolsData ExtractionMachine LearningStatistical ModelingRelational Database ManagementProject ManagementProcedure ManualsProcess MappingProgram WritingInternalExternal PublicationData MiningAccessDeep LearningExcelSASData Manipulation LanguageStatistical Analysis SoftwareOpen Source ToolsStudy DesignSQLText AnalyticsWritten CommunicationDocumentation

Required

Bachelors degree in Biostatistics, Statistics, Public Health, Data Science, or related field and 2+ years experience in biostatistics or a directly related field

Knowledge, Skills, and Abilities (KSAs): Data Quality; Model Creation and Interpretation; Procedure Manuals and Documentation; Process Mapping; Program Writing; Internal or External Publication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Project Management; Written Communication