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Entry Level Data Analyst Jobs in Mokena, IL (NOW HIRING)

Photon

Consulting Analyst | Onsite

Chicago, IL · On-site

A Consulting Analyst - Digital is an entry-level or junior role focused on supporting digital transformation projects and initiatives. They assist senior consultants in gathering data, analyzing ...

ConfigUSA

financial Analyst Prior BMO

Naperville, IL · On-site

ocal to Naperville IL Only! Entry level to early-career financial Analyst Prior BMO experience and banking domain knowledge is a must Support client projects through basic business analysis, data ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Chicago, IL · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

The LaSalle Group

Pension Analyst

Chicago, IL · On-site

$25 - $30/hr

Calculate pension refunds and benefits by reviewing payroll data, member contributions, vesting ... entry-level positions to the C-suite. With units specializing in Accounting and Finance ...

Pwc

Data Engineer - Senior Associate

Chicago, IL · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Alliance Group Technologies

Be Seen First

Process Control Engineer (entry level)

East Chicago, IN · On-site

$30 - $35/hr

... environment. - Data Analysis- MS Office, PLC programming - Basic Troubleshooting Requirements : * Applicants with a minimum of an Associate's Degree in Electrical Engineering, Electronics or ...

GAINSystems

Professional Services Analyst

Chicago, IL · On-site

... Entry Level About GAINS GAINS is on a mission to make supply chains smarter, faster, and self ... Query and analyze large customer datasets using SQL to validate data quality, identify patterns ...

GAINSystems

Professional Services Analyst

Chicago, IL · On-site

$70K - $100K/yr

Chicago, IL (Hybrid) - Employment Type: Full-Time - Experience: Entry Level GAINS is on a mission ... Query and analyze large customer datasets using SQL to validate data quality, identify patterns ...

GAINSystems

Professional Services Analyst

Chicago, IL · On-site

$70K - $100K/yr

... Entry Level About GAINS GAINS is on a mission to make supply chains smarter, faster, and self ... Query and analyze large customer datasets using SQL to validate data quality, identify patterns ...

Sralab

Financial Analyst

Chicago, IL · Hybrid

$52K - $89K/yr

Identify and recommend areas of improvements such as increasing the level of data accuracy or ... * Entry level to 2 years of experience with basic financial skills, including a working ...

Shirley Ryan AbilityLab

Financial Analyst

Chicago, IL · On-site

$52K - $89K/yr

Identify and recommend areas of improvements such as increasing the level of data accuracy or ... * Entry level to 2 years of experience with basic financial skills, including a working ...

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Showing results 21-40

All JobsData Analyst JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Mokena, IL

Entry Level Data Analyst information

See Mokena, IL salary details

$13

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How much do entry level data analyst jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for entry level data analyst in Mokena, IL is $32.39, according to ZipRecruiter salary data. Most workers in this role earn between $20.82 and $36.20 per hour, depending on experience, location, and employer.

What does an entry level data analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

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

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
More about Entry Level Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Mokena, IL? The most popular types of Data Analyst jobs in Mokena, IL are:
What cities near Mokena, IL are hiring for Entry Level Data Analyst jobs? Cities near Mokena, IL with the most Entry Level Data Analyst job openings:
Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Mokena, IL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $67,380 per year, or $32.4 per hour.

Consulting Analyst | Onsite

Photon

Chicago, IL • On-site

Full-time

Re-posted 8 days ago

Job description

A Consulting Analyst - Digital is an entry-level or junior role focused on supporting digital transformation projects and initiatives. They assist senior consultants in gathering data, analyzing business processes, and helping clients leverage digital technologies. The role requires a strong foundation in digital tools, data analytics, and problem-solving to drive digital strategies.

Job Title: Consulting Analyst - Digital Role Summary:

The Consulting Analyst - Digital supports the delivery of digital transformation projects by assisting senior consultants with data analysis, research, and solution development. The role involves working with clients to understand their digital challenges, helping to analyze business processes, and supporting the implementation of digital solutions. The Consulting Analyst is expected to be hands-on with technology and contribute to the successful execution of projects by applying data-driven insights and digital tools.

Key Responsibilities:
  1. Research and Data Analysis:
    • Conduct research on emerging digital trends, technologies, and market developments to inform project recommendations.
    • Analyze business data and digital processes to identify areas for improvement or digital intervention.
    • Use digital tools and data analytics platforms (e.g., Power BI, Google Analytics) to support insights and project recommendations.
  2. Support in Digital Transformation Projects:
    • Assist senior consultants in the development of digital transformation strategies and solutions for clients.
    • Help gather and document business requirements, process flows, and system interactions.
    • Support the implementation of digital technologies, such as CRM, ERP systems, automation tools, and cloud solutions.
    • Create deliverables like project reports, presentations, and process documentation.
  3. Client Engagement and Communication:
    • Collaborate with clients to gather data, document digital needs, and ensure alignment with project objectives.
    • Assist in client meetings, presentations, and workshops to convey research findings, digital insights, and solutions.
    • Provide ongoing project updates to clients and internal stakeholders.
  4. Technology and Tool Expertise:
    • Use digital platforms and tools to support the creation of solutions for clients, such as cloud services, AI/ML, automation, and data visualization tools.
    • Stay informed about emerging digital technologies and identify potential applications for client projects.
  5. Project Management Support:
    • Assist in tracking project progress, timelines, and deliverables, ensuring tasks are completed on time and within budget.
    • Support the management of project resources and schedules to help ensure successful project delivery.
    • Help maintain project documentation and status reports.
  6. Solution Development:
    • Assist in the creation of digital transformation roadmaps, outlining steps to achieve client objectives through technology.
    • Contribute to developing process improvement strategies using automation, data analytics, and other digital technologies.
    • Help create business cases and KPIs to measure the success of digital initiatives.
  7. Problem-Solving:
    • Identify challenges in clients' current digital processes and provide potential solutions.
    • Assist in evaluating the effectiveness of implemented digital solutions and recommend optimizations where needed.

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