We're hiring a Predictive Data Analyst to turn complex, multi-source data into decisions leaders can act on. You'll own predictive models end-to-end, build the Tableau dashboards executives rely on, and serve as the go-to expert for cross-agency justice-involved and managed care plan reporting.
What you'll do
- Build predictive models start to finish EDA, feature engineering, validation, deployment, monitoring
- Write complex SQL to pull, merge, and validate data across multiple systems
- Design and maintain Tableau dashboards and API-based reporting
- Run data quality QA and document business rules so reporting stays consistent
- Partner with program staff to translate business questions into analytics, and technical findings into plain language
- Work in Agile/Scrum standups, sprint planning, backlog grooming, reviews
What you need
- 4+ years planning, designing, conducting, and evaluating research or analytics projects
- Machine learning and predictive analytics applied hands-on
- Strong SQL and relational database experience
- Tableau (or similar BI) dashboard development
- Experimental / quasi-experimental research design on complex datasets
- Bachelor's in Data Science, Statistics, Mathematics, Business Analytics, Psychology, Public Health, or related applied research field (min. 12 semester / 18 quarter units in data science, predictive analytics, quantitative methods, or statistics)
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