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Entry Level Data Analysis Jobs in Illinois (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 ...

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 ...

ULINE

Entry Level Finance Opportunities

Waukegan, IL · On-site

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 ...

Falconi Consulting

Business Analyst

Chicago, IL · On-site

$70K - $80K/yr

Our approach combines data-driven analysis, hands-on execution, and a strong results orientation to ... This is an entry-level consulting role for individuals who want to learn fast, take ownership early ...

FALCONI US

Business Analyst

Chicago, IL

Our approach combines data-driven analysis, hands-on execution, and a strong results orientation to ... This is an entry-level consulting role for individuals who want to learn fast, take ownership early ...

FALCONI US

Business Analyst

Chicago, IL · On-site

Our approach combines data-driven analysis, hands-on execution, and a strong results orientation to ... This is an entry-level consulting role for individuals who want to learn fast, take ownership early ...

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All JobsData Analysis JobsEntry Level Data Analysis JobsEntry Level Data Analysis Jobs in Illinois

Entry Level Data Analysis information

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

What is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

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 foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

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

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

What are the most commonly searched types of Data Analysis jobs in Illinois? The most popular types of Data Analysis jobs in Illinois are:
What are popular job titles related to Entry Level Data Analysis jobs in Illinois? For Entry Level Data Analysis jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analysis jobs in Illinois look for? The top searched job categories for Entry Level Data Analysis jobs in Illinois are:
What cities in Illinois are hiring for Entry Level Data Analysis jobs? Cities in Illinois with the most Entry Level Data Analysis job openings:
Entry Level Data Analysis jobs near you
Infographic showing various Entry Level Data Analysis job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Consulting Analyst | Onsite

Photon

Chicago, IL • On-site

Full-time

Re-posted 9 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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