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Data Analyst Jobs in DeKalb, IL (NOW HIRING)

Analyze large, complex datasets using advanced data mining and statistical methods to identify trends, patterns, and actionable insights, selecting appropriate analytical techniques. * Experience ...

Analyze large, complex datasets using advanced data mining and statistical methods to identify trends, patterns, and actionable insights, selecting appropriate analytical techniques. * Experience ...

Property Tax Intern

Elgin, IL · On-site

$20 - $21.50/hr

Extensively analyze and process large amounts of data in Excel and the property tax system * Communicate with jurisdictions around the country to resolve discrepancies * Assist the team in completing ...

Data Analyst information

See DeKalb, IL salary details

$33.4K

$81.1K

$133.5K

How much do data analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data analyst in DeKalb, IL is $81,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,300.00 and $95,200.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.
What are the most commonly searched types of Data Analyst jobs in DeKalb, IL? The most popular types of Data Analyst jobs in DeKalb, IL are:
What are popular job titles related to Data Analyst jobs in DeKalb, IL? For Data Analyst jobs in DeKalb, IL, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in DeKalb, IL look for? The top searched job categories for Data Analyst jobs in DeKalb, IL are:
What cities near DeKalb, IL are hiring for Data Analyst jobs? Cities near DeKalb, IL with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in DeKalb, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $81,111 per year, or $39 per hour.

Data Analyst

3B Staffing LLC

West Chicago, IL • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Responsibilities
  • Collaborate with business stakeholders to understand needs, gather requirements, and define project goals, translating them into clear business requirement documents (BRDs), user stories, and functional specifications.
  • Analyze large, complex datasets using advanced data mining and statistical methods to identify trends, patterns, and actionable insights, selecting appropriate analytical techniques.
  • Experience with data visualization tools (e.g., Tableau, Power BI, D3.js) and ability to communicate complex data insights effectively.
  • Demonstrated effective interpersonal, influencing, collaboration and listening skills.
  • Partner with development teams using Azure DevOps to manage user stories, track progress, and ensure timely delivery of data-driven solutions.
  • Process, cleanse, and validate data to ensure accuracy and integrity of data solutions, reports and dashboards.
  • Present ad-hoc and regular analysis results clearly to stakeholders, communicating findings and recommendations to support decision-making.
  • Enhance data collection procedures and extend datasets with third-party sources as needed to build robust analytic systems and predictive models.
  • Proactively identify opportunities for continuous improvement in processes, reporting, and analytics.
  • Use data modeling and evaluation strategies to find patterns and predict future trends, enabling proactive business decisions.
  • Support data science initiatives by developing necessary tools using SQL, Python, Excel, and other reporting tools.