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Data Analytics Jobs in Naperville, IL (NOW HIRING)

As a Data Analytics Developer in Crowe's Consulting Practice , your role will focus on designing and implementing data visualization and reporting solutions that empower stakeholders to make informed ...

The Senior Manager, Data & Analytics (D&A) is responsible for leading the development, implementation, and optimization of data and analytics capabilities across the organization, including AI ...

The Senior Manager, Data & Analytics (D&A) is responsible for leading the development, implementation, and optimization of data and analytics capabilities across the organization, including AI ...

The Senior Manager, Data & Analytics (D&A) is responsible for leading the development, implementation, and optimization of data and analytics capabilities across the organization, including AI ...

Infrastructure Data Analytics Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This ...

Showing results 21-40

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

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

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.

Director of Data & Analytics

Gallagher

Rolling Meadows, IL

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 16 days ago


Arthur J. Gallagher & Co. rating

7.6

Company rating: 7.6 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

213th of 311 rated insurance


Job description

Introduction
Welcome to Gallagher - a global community of people who bring bold ideas, deep expertise, and a shared commitment to doing what’s right. We help clients navigate complexity with confidence by empowering businesses, communities, and individuals to thrive. At Gallagher, you’ll find more than a job; you’ll find a culture built on trust, driven by collaboration, and sustained by the belief that we’re better together. Whether you join us in a client-facing role or as part of our brokerage division, our benefits and HR consulting division, or our corporate team, you’ll have the opportunity to grow your career, make an impact, and be part of something bigger. Experience a workplace where you’re encouraged to be yourself, supported to succeed, and inspired to keep learning. That’s what it means to live The Gallagher Way.

Overview

The Director of Data Analytics leads a team of 10+ analytics professionals and is responsible for advancing the organization’s analytics strategy, delivery, and capabilities. This role drives data-informed decision-making by delivering insights that support business performance, operational management, and executive leadership across the enterprise. Leveraging Gallagher’s enterprise data warehouse, the Director translates complex data on customers, purchasing behaviors, and insurance risk characteristics into scalable reporting and actionable insights. The role also partners closely with IT and data governance to shape data strategy, oversee data initiatives, and ensure the quality, value, and effective use of enterprise data assets.


How you'll make an impact
  • Lead and manage 10 professionals on the data analytics team, fostering a culture of innovation and excellence.
  • Develop and implement comprehensive data analytics strategies aligned with business goals. Solutions will monetize value of our enterprise data platform. Enterprise data sets include client information, detailed insurance information about client’s policies, claims, operational information, and industry-specific data sets.
  • Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions, including risk consultation and purchase analytics for insurance customers.
  • Oversee the design, development, and maintenance of data models, dashboards, and reports.
  • Ensure data integrity, accuracy, and security across all analytics platforms. Work closely with IT and enterprise data governance to set and maintain quality standards.
  • Provide actionable insights and recommendations to senior leadership to support strategic decision-making and inform tactical management actions.
  • Stay abreast of insurance industry trends and emerging data technologies to continuously improve analytics capabilities.
  • Manage relationships with external vendors and partners to enhance data analytics resources.
  • Develop and monitor key performance indicators to measure the effectiveness of analytics initiatives.
  • Mentor and develop team members, promoting professional growth and skill development. Participate in programs to increase the overall data competency across divisional teams.

About You
  • Bachelor’s degree in Finance, Data Science, Statistics, Computer Science, or a related field; Master’s degree preferred.
  • Minimum of 8–10 years of experience in data analytics, with at least 5 years in a leadership role.
  • Experience in the insurance or risk management industry is preferred.
  • Demonstrated success translating business needs into scalable reporting and analytics solutions.
  • Proficiency in programming languages such as Python, R, and SQL, as well as visualization tools such as Tableau and Power BI. Experience working in cloud computing environments such as Snowflake.
  • Excellent analytical, problem-solving, and decision-making skills.
  • Effective communication and interpersonal skills, with the ability to convey complex data insights to non-technical stakeholders.
  • Experience leading analytics roadmaps across multiple business stakeholders while achieving project timelines.

#LI-NP1



Compensation and benefits

We offer a competitive and comprehensive compensation package. The base salary range represents the anticipated low end and high end of the range for this position. The actual compensation will be influenced by a wide range of factors including, but not limited to previous experience, education, pay market/geography, complexity or scope, specialized skill set, lines of business/practice area, supply/demand, and scheduled hours. On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits. 

Below are the minimum core benefits you’ll get, depending on your job level these benefits may improve:

  • Medical/dental/vision plans, which start from day one!
  • Life and accident insurance
  • 401(K) and Roth options
  • Tax-advantaged accounts (HSA, FSA)
  • Educational expense reimbursement
  • Paid parental leave

Other benefits include:

  • Digital mental health services (Talkspace)
  • Flexible work hours (availability varies by office and job function)
  • Training programs
  • Gallagher Thrive program – elevating your health through challenges, workshops and digital fitness programs for your overall wellbeing
  • Charitable matching gift program
  • And more...

**The benefits summary above applies to fulltime positions. If you are not applying for a fulltime position, details about benefits will be provided during the selection process.

We value inclusion and diversity

Click Here to review our U.S. Eligibility Requirements

Inclusion and diversity (I&D) is a core part of our business, and it’s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work.

Gallagher embraces our employees’ diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest.

Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as “protected characteristics”) by applicable federal, state, or local laws.

Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.

Qualifications:
  • Bachelor’s degree in Finance, Data Science, Statistics, Computer Science, or a related field; Master’s degree preferred.
  • Minimum of 8–10 years of experience in data analytics, with at least 5 years in a leadership role.
  • Experience in the insurance or risk management industry is preferred.
  • Demonstrated success translating business needs into scalable reporting and analytics solutions.
  • Proficiency in programming languages such as Python, R, and SQL, as well as visualization tools such as Tableau and Power BI. Experience working in cloud computing environments such as Snowflake.
  • Excellent analytical, problem-solving, and decision-making skills.
  • Effective communication and interpersonal skills, with the ability to convey complex data insights to non-technical stakeholders.
  • Experience leading analytics roadmaps across multiple business stakeholders while achieving project timelines.

#LI-NP1


Education:UNAVAILABLEEmployment Type: FULL_TIME

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