ATC

Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst position with a contract length of "unknown" and a pay rate of "unknown," located in "unknown." Key skills required include SQL, SAS, R or Python, and knowledge of epidemiological methods.
🌎 - Country
United States
πŸ’± - Currency
Unknown
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
February 17, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Indianapolis, IN
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🧠 - Skills detailed
#Data Analysis #Data Quality #Data Cleaning #Data Aggregation #Data Mining #R #Statistics #Datasets #SAS #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Python
Role description
The Data Analyst validates and analyzes a variety of agency data sources to garner public health insight. The incumbent will produce reports and support data-related activities for the several divisions. In addition, this role will assist with curation and analysis of various other datasets and assist teams with integrating new data and information into existing and new reports. JOB DUTIES Serves as project lead/subject matter expert for specific data sources, as assigned Reviews and provides feedback on the work products of other analysts Responsible for transferring raw data to the appropriate location for use in data analysis projects Wrangles, cleans, and validates agency data sources with minimal guidance Conducts general analysis of agency datasets; serves as project lead, as assigned. Contributes to complex analysis of agency datasets, as requested Conducts data quality checks to ensure the validity and cleanliness of agency datasets prior to their use in analysis and reporting Oversee and review projects completed by associate analysts, as requested by senior analyst Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to more complex statistical methodologies Collaborate with internal and external partners to develop novel ways of using and reporting out data. Provide technical assistance to program areas for the creation of reports and grant deliverables REQUIREMENTS Demonstrated experience with data queries and transformations (including cleansing and standardizing) with SQL. Demonstrated experience with SAS and either R or Python, including data cleaning, running descriptive statistics and full analyses. Working knowledge of epidemiological methods, study design, and analysis needed with an understanding of both qualitative and quantitative data. Working knowledge of MS Office Suite including Excel, Word, and PowerPoint. Effective time management and program management skills. Ability to work in a team environment with multiple and fluid demands. Ability to maintain effective and professional working relationships with internal and external customers. Ability to research and document findings.