Data Analyst supporting behavioral health initiatives by analyzing data for various programs in Detroit. Involves data collection, reporting, and collaboration with community partners.
Responsibilities
Collect, enter, and maintain datasets from multiple programs including co-response, jail navigator, jail discharge follow-up, homeless outreach, and mobile clinic mental health services.
Ensure completeness, accuracy, and consistency of incoming data from internal teams and external partners.
Maintain and update data logs, tracking tools, and create dashboards.
Perform routine data audits to identify and resolve inconsistencies, duplicates, missing values, and formatting errors.
Develop and implement quality assurance protocols to enhance data reliability.
Conduct descriptive and comparative analysis to assess program outcomes, service trends, and population characteristics.
Generate routine and ad-hoc reports for leadership, funders, and stakeholders.
Develop visualizations and summaries using Excel, Power BI, Tableau, or similar tools to communicate findings.
Work closely with program managers, outreach staff, and partner agencies to align data collection methods and ensure timely submissions.
Support integration of data from law enforcement, jails, HMIS, behavioral health systems, and other partner platforms.
Ensure adherence to HIPAA, 42 CFR Part 2, and other confidentiality and data security requirements.
Maintain detailed documentation of data sources, definitions, and analytic methodologies.
Requirements
Bachelor’s degree in Public Health, Social Work, Psychology, Statistics, Data Science, or related field.
Minimum of 2 years of experience in data entry, analysis, or evaluation within health, human services, or justice settings.
Proficiency in Excel, and at least one data analysis or visualization tool (e.g., Power BI, Tableau, SPSS, or other).
Strong attention to detail and ability to manage multiple datasets with confidentiality.
Excellent written and verbal communication skills.
Experience working with behavioral health, homelessness, or criminal justice data (preferred).
Familiarity with systems such as HMIS, EHRs, jail management platforms, or law enforcement databases (preferred).
Knowledge of data-sharing practices, especially in cross-sector public service initiatives (preferred).
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