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Data Analyst
JOB SUMMARY
Job details
Apite Resources is seeking a Data Analyst to support the evaluation of SAMHSA's 988 Suicide Crisis Lifeline and Zero Suicide initiatives.
The Data Analyst will work as part of a multidisciplinary team to collect, manage, analyze, and interpret complex datasets related to crisis services, healthcare systems, and program implementation.
Requirements
5+ years of relevant experience conducting data analysis in support of program evaluation, public health, healthcare services, or behavioral health initiatives. Bachelor's degree in Public Health, Statistics, Data Science, Social Sciences, Health Services Research, or a related quantitative field. Demonstrated experience managing, cleaning, and analyzing large and complex datasets. Proficiency in statistical software such as R, SAS, Stata, Python, or Excel Power Query; experience with SQL for data extraction and manipulation. Experience developing data visualizations and dashboards using tools such as Tableau, Power BI, or similar platforms. Experience with automated processes, including building automated pipelines and documenting clear data workflows. Strong written and verbal communication skills, including the ability to translate technical findings into clear, actionable insights for non-technical stakeholders. Ability to work collaboratively in a multidisciplinary team environment and manage multiple priorities in a fast-paced setting.
The Data Analyst will work as part of a multidisciplinary team to collect, manage, analyze, and interpret complex datasets related to crisis services, healthcare systems, and program implementation.
Requirements
5+ years of relevant experience conducting data analysis in support of program evaluation, public health, healthcare services, or behavioral health initiatives. Bachelor's degree in Public Health, Statistics, Data Science, Social Sciences, Health Services Research, or a related quantitative field. Demonstrated experience managing, cleaning, and analyzing large and complex datasets. Proficiency in statistical software such as R, SAS, Stata, Python, or Excel Power Query; experience with SQL for data extraction and manipulation. Experience developing data visualizations and dashboards using tools such as Tableau, Power BI, or similar platforms. Experience with automated processes, including building automated pipelines and documenting clear data workflows. Strong written and verbal communication skills, including the ability to translate technical findings into clear, actionable insights for non-technical stakeholders. Ability to work collaboratively in a multidisciplinary team environment and manage multiple priorities in a fast-paced setting.
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Aptive United States
