
Public Safety Data Analyst
Posted 5 days ago

Posted 5 days ago
This is a fully remote position, open to applicants in Texas.
β’ Deliver comprehensive operational support for the Health & Public Safety Team's array of projects.
β’ Evaluate quantitative and qualitative data for program assessments and strategic evaluations.
β’ Conduct and facilitate fairness-related and cross-sector applied data science investigations.
β’ Execute data processing and exploration, statistical and causal inference, data modeling, machine learning, and artificial intelligence tasks.
β’ Identify, prototype, and validate techniques for detecting behavioral health-related calls to 911 call centers.
β’ Act as the main point of contact for designated projects.
β’ Collaborate with the Data, Research, & Analysis Team to monitor project timelines and deliverables.
β’ Maintain data sources and databases, request new data sources, construct databases for large datasets, and automate recurring tasks.
β’ Produce visualizations, dashboards, and quantitative summaries for both internal and external deliverables.
β’ Document procedures for data cleaning, coding workflows, and methodological decisions.
β’ Support the mission of the Meadows Mental Health Policy Institute to enhance mental health systems and guide policy and practice.
β’ Proven professional experience applying data analysis, statistical techniques, or research to real-world challenges in government, public health, healthcare, behavioral health, or public safety environments.
β’ Experience with law enforcement, emergency communications (911), crisis response, or other public safety systems is highly preferred.
β’ Demonstrated capability to work with complex administrative or operational datasets and convert analytical findings into actionable insights.
β’ Experience working with nontechnical stakeholders to define research inquiries, interpret results, and assist in programmatic or policy decisions.
β’ Strong problem-solving and collaboration abilities across both internal and external teams.
β’ Bachelor's degree in data science, public health, statistics/biostatistics, quantitative psychology/criminal justice, computer science, or a related field.
β’ At least two years of relevant professional experience.
β’ Exceptional written and verbal communication skills.
β’ Strong foundation in quantitative research with proficiency in statistical and programming techniques.
β’ Extensive experience coding in R, including the development, maintenance, and modification of R-based data-cleaning, analysis, and reporting workflows.
β’ Experience in creating and deploying dashboards for public and general audience use.
β’ Ability to document coding practices, data-cleaning methods, and methodological choices.
β’ Ability to work both independently and collaboratively across geographic and other potential communication barriers.
β’ Excellent organizational skills with the ability to manage multiple tasks and projects while adhering to deadlines.
β’ Adaptability to work with new issues, subjects, and methodologies.
β’ Preferred: 3 to 5 years of professional-level experience in a related capacity.
β’ Preferred: proficiency in Python, SQL, Quarto, Git, Netlify, Leaflet, Highcharter, and Reactable.
β’ Must possess eligibility to work in the United States.
β’ Preferred work location is Texas; this role cannot be filled or performed in California, Colorado, Connecticut, District of Columbia, Hawaii, Illinois, Maryland, Minnesota, Montana, Nevada, New Jersey, New York, Rhode Island, Vermont, or Washington.
β’ Full-time employment.
β’ Up to 10% statewide travel may be required.
β’ Relocation assistance is not available.
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