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Data Analytics Jobs in Naperville, IL (NOW HIRING)

Arsenault Inc

Data Analyst

Burbank, IL · Remote

Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality * Acquire data from primary or secondary data sources ...

CONAGRA

Director, Finance Data & Analytics

Chicago, IL · On-site

$135K - $200K/yr

As the Director of Finance Data & Analytics you will lead finance transformation initiatives that modernize planning, forecasting, reporting, analytics, and data management capabilities. You will ...

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All JobsData Analytics JobsData Analytics Jobs in Naperville, IL

Data Analytics information

See Naperville, IL salary details

$24

$54

$94

How much do data analytics jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data analytics in Naperville, IL is $54.67, according to ZipRecruiter salary data. Most workers in this role earn between $43.94 and $61.92 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Naperville, IL?

The most popular types of Data Analytics jobs in Naperville, IL are:

What are popular job titles related to Data Analytics jobs in Naperville, IL?

For Data Analytics jobs in Naperville, IL, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Naperville, IL look for?

The top searched job categories for Data Analytics jobs in Naperville, IL are:

What cities near Naperville, IL are hiring for Data Analytics jobs?

Cities near Naperville, IL with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Naperville, IL as of August 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 57% In-person, 14% Hybrid, and 29% Remote job distribution, with an average salary of $113,704 per year, or $54.7 per hour.

Senior Criminal Justice Data Analytics Consultant - Contractual

Jobtailor

Chicago, IL • On-site

$120 - $160/hr

Other

Posted 15 days ago

Job description

Responsibilities
  • Provide temporary leadership and technical support to the Center for Crime and Justice Data and Analytics (CCJDA) during a temporary staffing transition.
  • Work closely with Research & Analysis leadership and CCJDA staff to support the production of statewide statistical reports, public-facing dashboards, administrative datasets, and other data products used by policymakers, practitioners, researchers, and the public.
  • Provide technical oversight and quality assurance for a portfolio of data and reporting projects, including Statistical Analysis Center initiatives funded by the Bureau of Justice Statistics, Justice Counts implementation, Deaths in Custody reporting, Criminal History Record Information audits, and other statewide data initiatives.
  • Collaborate with research staff, data analysts, information technology personnel, and external stakeholders to ensure timely completion of high-quality analytical products.
Requirements
  • Doctoral degree (Ph.D.) in criminology, criminal justice, sociology, public policy, statistics, data science, public administration, or a closely related field.
  • At least ten years of professional experience conducting and leading quantitative research, statistical analysis, data analytics, program evaluation, or public policy research projects.
  • At least five years of experience providing leadership, management, technical oversight, or supervision of professional research, evaluation, analytics, or data staff.
Hard Skills
  • Statistical Analysis
  • Data Analytics
  • Program Evaluation
  • Public Policy Research
  • Quality Assurance
  • Data Reporting
  • Research Methodology
  • Data Visualization
  • Portfolio Management
  • Project Management
Soft Skills
  • Collaboration
  • Leadership
  • Communication
  • Supervision
  • Stakeholder Engagement
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