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Data Analyst Jobs in Romeoville, IL (NOW HIRING)

• Collect, clean, and analyze technology data from various sources to identify trends, patterns, and anomalies. • Supports the development and distribution of daily, monthly, and quarterly ...

Data Analyst Location: Chicago IL 60629 Duration: 3 months (Could go beyond) Summary of Position: * The position is a part of the Chicago Bakery Team, and reports into the CI Engineers. They will ...

Data Analyst

Chicago, IL · On-site +1

$95K - $110K/yr

Position Objective World Investment Advisors is seeking a data analyst with strong financial literacy to support our RIA/BD business. This role is ideal for someone who excels at working with large ...

We are looking for a Data Implementation Analyst to join CooperSurgical and help build Embryo Options, the first business of its kind to help guide patients through the process of storing ...

Data Analyst

Chicago, IL · Hybrid

$75K - $94K/yr

Data Analyst Location : 141 W. Jackson Blvd., Suite 500, Chicago, IL 60604 Responsibilities : Evaluate data flow and capture, anticipate requirements, uncover areas for improvement, develop and ...

Data Analyst

Chicago, IL · On-site

$75K - $94K/yr

Data Analyst Location : 141 W. Jackson Blvd., Suite 500, Chicago, IL 60604 Responsibilities : Evaluate data flow and capture, anticipate requirements, uncover areas for improvement, develop and ...

We are looking for a Data Implementation Analyst to join CooperSurgical and help build Embryo Options, the first business of its kind to help guide patients through the process of storing ...

Role Summary We are looking for two Data Analyst to join our team in Fremont, CA. This is an exciting opportunity for students or recent graduates who are passionate about data processing, analytics ...

Reporting Data Analyst Onsite Location Alpharetta, GA; Charlotte, NC; Chicago, IL; Conshohocken, PA; Dallas, TX; Denver, CO; Fargo, ND; Garden City, NY; Houston, TX; Lenexa, KS; Lubbock, TX; ...

Operations Data Analyst Here at Entegris, we use advanced science to enable technologies that transform the world, and we are seeking employees who have the drive to continue that mission. The Role:

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card ...

Operations Data Analyst Here at Entegris, we use advanced science to enable technologies that transform the world, and we are seeking employees who have the drive to continue that mission. The Role:

As a Data Analyst Lead you will think strategically and apply your skills in project management, business analysis, data visualization, change management, troubleshooting and training to implement ...

The Data Analyst, Data Ops is responsible for ensuring the accurate, timely and reliable delivery of data and analytics solutions to support process efficiency and data-centric decision making. This ...

Data Analyst Lead

Chicago, IL · On-site

$65K - $95K/yr

As a Data Analyst Lead you will think strategically and apply your skills in project management, business analysis, data visualization, change management, troubleshooting and training to implement ...

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Data Analyst information

See Romeoville, IL salary details

$34.7K

$84.3K

$138.7K

How much do data analyst jobs pay per year?

As of Jul 2, 2026, the average yearly pay for data analyst in Romeoville, IL is $84,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $98,900.00 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.

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.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

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 Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

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.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analyst jobs in Romeoville, IL? The most popular types of Data Analyst jobs in Romeoville, IL are:
What are popular job titles related to Data Analyst jobs in Romeoville, IL? For Data Analyst jobs in Romeoville, IL, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in Romeoville, IL look for? The top searched job categories for Data Analyst jobs in Romeoville, IL are:
What cities near Romeoville, IL are hiring for Data Analyst jobs? Cities near Romeoville, IL with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Romeoville, IL as of June 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 67% In-person, 13% Hybrid, and 20% Remote job distribution, with an average salary of $84,261 per year, or $40.5 per hour.
Data Analyst

Data Analyst

1 point system

Chicago, IL • On-site

Contractor

Posted 14 days ago


Job description

• Collect, clean, and analyze technology data from various sources to identify trends, patterns, and anomalies.
• Supports the development and distribution of daily, monthly, and quarterly reports to monitor the Bank’s technology metrics portfolio
• Develop and maintain automated processes for data extraction and transformation to streamline data workflows.
• Create and maintain comprehensive reports and dashboards to visualize key performance indicators (KPIs), key risk indicators (KRIs) and metrics.
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Conduct ad-hoc analysis and deep dives to address specific business questions and challenges as needed.
• Assist in the preparation of presentations and reports for internal stakeholders, conveying complex technical findings in a clear and concise manner.
• Stay updated on industry trends, best practices, and emerging technologies in data analysis and financial services.
• Encourages teamwork, professionalism and high morale, throughout the department and the Bank.
• Creates efficiencies within work tasks to eliminate or reduce manual processes.