Temporary Predictive Analytics Jobs in California

Requisition # 913 Assignment View Sector Los Angeles County Contractor's Work Location Client-Health Services Position Title Predictive Data Analyst Labor Category Information Technology Job Category Miscellaneous/Niche/Other Number of Positions 1 Job Level 1 Submittal allowed per staffing agency 2 Priority Submittals allowed for this Requisition 50 Assignment Type Temporary Is a Livescan Required for Position? Yes Is this role located on-site, hybrid, or remote? Onsite Work Location Address 313 N. Figueroa St., Rm. 912, Los Angeles, CA, 90012 Assignment Details Target Start Date 09/04/2026 Target End Date 08/31/2027 Shift Standard Work Schedule Standard Tentative Shift Start Time Tentative Shift End Time Staffing Agency NTE (Not-to-Exceed) Bill Rate $ 63.48 Rate Unit Hour Estimated Regular Hours/Week 40.00 Travel Required No Estimated OT Hours/Week Travel % Travel Description(Domestic/International) Security Clearance None Position Details Background Checks Yes Position Description Miscellaneous/Niche/Other Skills Required Miscellaneous/Niche/Other Additional Skills Required (Position Description) The Predictive Data Analyst will support stakeholders by defining data needs and ensuring data science and advanced analytics projects meet business objectives across various levels. The Predictive Data Analyst will use statistical programming languages and tools for data manipulation, analysis, and visualization, including end-to-end predictive modeling from exploratory analysis to deployment and results interpretation. The Predictive Data Analyst will manage data through querying, merging, quality control, regular reporting, special project deliverables, and documentation. Additionally, the Predictive Data Analyst will collaborate with IT and data engineering staff to develop data pipelines, designs and maintains reports and dashboards, and will work directly with program staff to ensure analyses lead to actionable insights for decision-making and program improvement. The Predictive Data Analyst will serve as the Subject Matter Expert (SME) on cross-agency justice-involved datasets and managed care plan reporting, owning the associated business logic, query design, and report definitions. Functioning as a technical lead within a collaborative team structure, the Predictive Data Analyst will consult on the technical feasibility of project intakes, takes a lead role on Tableau dashboard development, or similar, and API reporting, and drives rigorous quality assurance. The Predictive Data Analyst will handle technical documentation and actively engages in team Agile/Scrum workflows by participating in daily stand-ups, backlog grooming, and sprint planning to commit to and deliver technical tasks. (Skills Required) The Predictive Data Analyst will possess knowledge and experience in predictive analytics and tool development; ability to work directly with a client-centric relational database; have strong technical knowledge to conduct analysis and build reports from an SQL database; comfortable with various analytical tools; ability to take the lead on projects where the best path forward is unclear; excellent interpersonal, oral and written communication skills; and exceptional customer service. Experience Required Miscellaneous/ Niche/ Other Additional Experience Required Four (4) years of experience with responsibility for planning, designing, conducting, and evaluating research projects involving the application of techniques of machine learning, predictive analytics, data management, and hypothesis-driven data analysis to complex experimental designs, leading to actionable findings and recommendations. Education Required Miscellaneous/ Niche/ Other Additional Education Required A Bachelor’s degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that includes 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis. Additional Information