Predictive Data Analyst
The Predictive Data Analyst at Confidential Client will lead data-driven projects by defining data needs, performing end-to-end predictive modeling, and delivering actionable insights to support decision-making across various stakeholders. This role involves managing complex datasets, developing dashboards and reports, collaborating with IT and data engineering teams, and serving as a subject matter expert on specialized datasets while actively participating in Agile workflows to ensure high-quality analytics solutions.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Government Administration & Government Relations Services.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
The Predictive Data Analyst will support program and business stakeholders by turning data into actionable insight. You will lead predictive-analytics projects end-to-end — from requirements and exploratory analysis through model development, dashboarding, and support for deployment and interpretation. This role acts as a technical SME for cross-agency justice-involved datasets and managed care reporting, and works closely with IT/data engineering and program teams to ensure analyses drive decisions and program improvements.
- Define data needs with stakeholders and translate business questions into analytics objectives
- Build, validate, and interpret predictive models and statistical analyses
- Extract, clean, merge and quality-check data from client-centric relational databases using SQL and statistical programming
- Design and build reports and dashboards (Tableau or similar) and develop API reporting for automated delivery
- Consult on technical feasibility for project intake and lead analytics or dashboard tasks when required
- Document business logic, query design, report definitions, and technical decisions
- Participate in Agile/Scrum rituals (daily stand-ups, backlog grooming, sprint planning) and drive QA for deliverables
- Collaborate with data engineering to support data pipelines and maintain reproducible analysis workflows
What We’re Looking For
- Minimum four (4) years of professional experience planning, designing, conducting, and evaluating research or analytics projects that apply machine learning, predictive analytics, and hypothesis-driven analysis to complex datasets
- Strong SQL skills and experience working directly with relational databases
- Hands-on experience in statistical programming and data manipulation (e.g., Python, R, or similar)
- Experience developing dashboards and reports (Tableau preferred) and familiarity with API-based reporting
- Demonstrated ability to lead technical tasks and make sound judgments when the path forward is not obvious
- Excellent written and verbal communication skills and strong customer-service orientation
- Experience working with justice-involved datasets or managed care reporting strongly preferred
- Comfortable working in Agile team environments and producing clear technical documentation
Experience & Education
- Experience: Four (4) years of relevant experience (see above)
- Education: Bachelor’s degree from an accredited college or university in Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, Public Health, or a related applied research field that includes at least 12 semester (or 18 quarter) units in data science, predictive analytics, quantitative research methods, or statistics
Location & Duration
- Location: Los Angeles, CA (onsite) — 90012
- Duration: 12 months (contract) with possible extension
- Work model: Onsite
Compensation & Employment Type
- Employment type: CONTRACTOR (you would be employed by our client)
- Base pay range: $35.00/hr - $40.00/hr (actual pay based on skills and experience)
- Note: This role will follow all applicable federal and state employment laws, including California pay-transparency and worker protections.
Other Important Information
- Reasonable accommodations: Careertakes and our client will consider requests for reasonable accommodation during the application and hiring process. If you need an accommodation, please let the recruiter or Careertakes know.
- Work authorization: Candidates must be legally authorized to work in the United States. Sponsorship is not guaranteed for this contract role.
- This posting describes core responsibilities and requirements — other reasonable duties may be assigned.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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