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Data Analyst Jobs in Riverside, IL (NOW HIRING)

1 point system

Data Analyst

Chicago, IL · On-site

• 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 ...

Apex Fintech Solutions

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 ...

ULINE

Data Analyst

Glenview, IL

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Apex Fintech Solutions

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 ...

Benchmark Analytics

Data Analyst Lead

Chicago, IL · On-site

We are currently seeking a talented Lead Data Analyst to join us as we develop our data-driven, analytic-focused, and predictive products to help revolutionize the law enforcement sector. In this ...

Brillio Inc

Data Analyst

Rosemont, IL · On-site

Big Data Analytics and Digital Experiences such as IoT, Wearables, UX, Mobile,IP-led solutions and engineered software solutions. Our 2,500 odd employees serve more than 350 global clients, a ...

Benchmark Analytics

Data Analyst Lead

Chicago, IL · On-site

We are currently seeking a talented Lead Data Analyst to join us as we develop our data-driven, analytic-focused, and predictive products to help revolutionize the law enforcement sector. In this ...

Brillio Inc

Data Analyst

Rosemont, IL

Big Data Analytics and Digital Experiences such as IoT, Wearables, UX, Mobile,IP-led solutions and engineered software solutions. Our 2,500 odd employees serve more than 350 global clients, a ...

Global Information Network

Be Seen First

Data Analyst

Schaumburg, IL · On-site

$85K - $125K/yr

Data Analyst/Financial Analyst/Stat Person Salary based on experience Full benefits available NOT REMOTE WORK Office located in Schaumburg Seeking a detail oriented "numbers person" who loves getting ...

Harris Associates

Data Analyst, Data Ops

Chicago, IL

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 ...

Harris | Oakmark

Data Analyst, Data Ops

Chicago, IL · On-site

The Data Analyst will ensure the accurate and timely delivery of data and analytics solutions, partnering cross-functionally to enhance data reporting and workflow automation solutions.

Resource Innovations

Data Analyst Lead

Chicago, IL

$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 ...

Resource Innovations

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 ...

Core Specialty

Actuarial Data Analyst

Chicago, IL · Hybrid

$70K - $75K/yr

- The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is responsible for supporting all lines of business during an exciting time of growth Key Accountabilities ...

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Showing results 21-40

All JobsData Analyst JobsData Analyst Jobs in Riverside, IL

Data Analyst information

See Riverside, IL salary details

$34.2K

$83.1K

$136.7K

How much do data analyst jobs pay per year?

As of Jul 25, 2026, the average yearly pay for data analyst in Riverside, IL is $83,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $97,500.00 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.
More about Data Analyst jobs
What cities near Riverside, IL are hiring for Data Analyst jobs? Cities near Riverside, IL with the most Data Analyst job openings:
Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Riverside, IL as of July 2026, with employment types broken down into 68% Full Time, 6% Part Time, and 26% Contract. Highlights an 67% Physical, 5% Hybrid, and 28% Remote job distribution, with an average salary of $83,088 per year, or $39.9 per hour.
Data Analyst

Data Analyst

1 point system

Chicago, IL • On-site

Contractor

Posted 6 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.