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DN
Onsite Data Analyst – Innovation & Comm Engagement
Posted last month
About the role
- 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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