Jobs via Dice

Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst position in Indianapolis, Indiana, on a contract basis. Requires 1 year of experience in SAS, R or Python, SQL, and epidemiological methods. Proficiency in Tableau and MS Office is highly desired. Hybrid work arrangement.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 30, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Indiana, United States
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🧠 - Skills detailed
#Data Cleaning #Data Quality #Data Wrangling #Data Analysis #Visualization #SQL (Structured Query Language) #SQL Queries #Azure Portal #Tableau #Azure #Programming #Datasets #R #"ETL (Extract #Transform #Load)" #SAS #Python #Data Aggregation #Scripting #Data Mining #Statistics #DevOps #Leadership
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Stellar Professionals LLC, is seeking the following. Apply via Dice today! Location & Work Arrangement • City, State: Indianapolis, Indiana • Work Arrangement: Hybrid (Requires reporting to the Indianapolis office at least monthly and attending ad hoc in-person staff meetings. Must be local to Indianapolis). • Contract: This is a Contract position. • Mode of Interview: Webcam only. Key Duties and Technical Environment The Data Analyst will serve as a subject matter expert for assigned data sources, driving data quality and reporting for grant deliverables and program areas. • Data Curation and Quality • Data Wrangling: Responsible for transferring raw data, and performing wrangling, cleaning, and validating agency data sources with minimal guidance. • Data Quality Checks: Conduct data quality checks to ensure the validity and cleanliness of datasets prior to their use in analysis and reporting. • SQL Queries: Demonstrated experience with data queries and transformations (including cleansing and standardizing) with SQL. • Analysis and Reporting • Programming: Demonstrated experience with SAS and either R or Python for data cleaning, running descriptive statistics, and full analyses. • Analysis: Conduct general analysis, contribute to complex analysis, and serve as project lead for specific data analysis projects as assigned. • Statistical Techniques: Interpret data from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining and complex statistical methodologies. • Visualization: Experience using Tableau for data visualization is highly desired. • Public Health Expertise & Collaboration • Epidemiology: Working knowledge of epidemiological methods, study design, and analysis, with an understanding of both qualitative and quantitative data. • Collaboration: Collaborate with internal and external partners to develop novel ways of using and reporting out data. • Technical Assistance: Provide technical assistance to program areas for the creation of reports and grant deliverables. • Leadership: Oversee and review projects completed by associate analysts, as requested. Required Qualifications Summary Skill Set Category Key Technologies/Concepts Minimum Experience Data Analysis Analyzing data and reporting relevant results in a professional non-academic setting. 1 Year Programming Experience using SAS for data analysis. 1 Year Scripting Experience using R or Python for data analysis and reporting. 1 Year Database Experience using SQL to query a relational database (queries and transformations). 1 Year Domain Knowledge Working knowledge of epidemiological methods, study design, and analysis (qualitative and quantitative data). Required Tools Proficiency with MS Office Suite (Excel, Word, PowerPoint). 2 Years Desired Plus Experience using Tableau (visualization), Azure Portal, Microsoft DevOps. Highly Desired (1 Year)