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

dbHMS

Entry Level Building Performance Analyst

Chicago, IL · On-site

$60K - $80K/yr

Entry Level Building Performance Analyst Firm Overview Do more than just build! At dbHMS, we are a ... Analyzing building performance data and identifying opportunities for improvement. * Thinking ...

ULINE

Entry Level Finance Opportunities

Glenview, IL

Entry Level Finance Opportunities Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI ... Analyze customer data and documentation such as invoices, tax exemption certificates, and financial ...

Oak Point Partners

Business Analyst

Skokie, IL · On-site

$60 - $80/hr

Oak Point Partners is looking to hire entry-level candidates with a bachelor's degree who are eager ... Data Analysis: Analyze large datasets to identify and pursue revenue opportunities. * Process ...

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

Entry Level Data Analyst information

See Roselle, IL salary details

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

As of Sep 8, 2026, the average hourly pay for entry level data analyst in Roselle, IL is $33.05, according to ZipRecruiter salary data. Most workers in this role earn between $21.25 and $36.92 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 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.

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 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.

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Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Roselle, IL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $68,750 per year, or $33.1 per hour.

Entry Level Business Analyst

Data Cloud Merge

Chicago, IL • On-site

Full-time

Re-posted 18 days ago

Job description

Company Description
Data Cloud Merge is a communications Company that was established in the year 2002 and located in Jersey City, New Jersey. It has gained a lot of experience in providing innovations in IT that were formerly found in large companies alone. The Company provides dedicated IT innovations at friendly prices unlike other companies that operate on big budgets. It was established with the objective of serving the private sector with these innovations through their dedicated departments of IT.
Job Description
  • Collaborate with business managers and Subject Matter Experts to identify, prioritize, and implement solutions to improve efficiency, reduce risk, and support new business.
  • Interact with advanced business analysts and solution developers to communicate and validate requirements.
  • Prepare and maintain project documentation and artifacts including analysis, reports and user documentation.
  • Create process flow diagrams, Use cases, User stories, Acceptance Criteria from scratch
  • Work with project managers, developers, and end users to ensure application designs meet business requirements.
  • Implement and manage projects through Agile Scrum methodology for SDLC - covering from concept to production, including coaching and mentoring of the whole team.
  • Facilitate Joint Application development sessions for requirement gathering.

Qualifications
  • A bachelors or Masters in Business, Computer Science, technology, management or a related discipline is required.
  • Relevant work experience in Business Analysis with a strong focus on Information Technology projects is required.
  • Advanced to expert knowledge of business analysis, product nurturing, SDLC, and agile solution delivery practices throughout the project life cycle is required.
  • Superior analytical skills to quickly understand how technical systems, business process and data management elements relate to one another and impact one another across business units.

Additional Information
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