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Entry Level Data Science Military Jobs in Naperville, IL

Bachelor s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field. Strong knowledge of data analysis, statistical techniques, and data visualizations Experience ...

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative ... S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other ...

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Entry Level Data Science Military information

What is the difference between Entry Level Data Science Military vs Entry Level Data Analyst?

AspectEntry Level Data Science MilitaryEntry Level Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; military security clearance often preferredBachelor's in Statistics, Mathematics, or related field; no security clearance typically needed
Work EnvironmentMilitary settings, government agencies, or defense contractorsCorporate offices, consulting firms, or government agencies
Employer & Industry UsageMilitary branches, defense industry, governmentPrivate companies, finance, healthcare, government

Entry Level Data Science Military roles focus on applying data science skills within military and defense contexts, often requiring security clearances. Entry Level Data Analysts work across various industries analyzing data to support business decisions. While both roles involve data analysis, the military role emphasizes security and defense applications, whereas data analysts serve broader commercial sectors.

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For Entry Level Data Science Military jobs in Naperville, IL, the most frequently searched job titles are:

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Cities near Naperville, IL with the most Entry Level Data Science Military job openings:

Infographic showing various Entry Level Data Science Military job openings in Naperville, IL as of August 2026, with employment types broken down into 11% Internship, 62% Full Time, 15% Part Time, and 12% Contract. Highlights an 85% In-person, and 15% Hybrid job distribution.

Entry level Data Analyst

Dhalite Inc.

Chicago, IL • On-site

Other

Posted 8 days ago


Job description

Note: Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Job Summary


We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills and experience working with large datasets, data visualization tools, and statistical techniques to identify trends, build predictive models, and generate actionable insights. This role requires collaboration with cross-functional teams to transform complex data into meaningful business strategies.

Key Responsibilities

  • Build and optimize data pipelines and ETL workflows for efficient data processing and integration.
    Analyze large datasets using Python, SQL, and statistical methods to identify patterns and trends.
    Create interactive dashboards and visual reports using Power BI, Tableau, or similar tools.
    Implement predictive forecasting and analytical models to support strategic decision-making.
    Automate data workflows and reporting processes to improve operational efficiency.
    Ensure data quality, accuracy, and integrity through validation and monitoring frameworks.
    Perform root cause analysis on performance and operational issues using data insights.
    Work with cross-functional teams to gather requirements and translate data into actionable insights.
    Maintain documentation of data processes, models, and reporting systems.
    Develop and maintain data models and analytical solutions to improve business insights and predictive accuracy.

Required Qualification

  • Bachelor s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field.
    Strong knowledge of data analysis, statistical techniques, and data visualizations
    Experience working with databases and large datasets.
    Ability to interpret complex data and present insights clearly to stakeholders.
    Strong problem-solving and analytical thinking skills.