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

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Description The Product Strategy Analyst III is an entry-level analytical role that supports the Distribution division by delivering foundational data analysis, reporting, and financial evaluation to ...

This team builds the reporting, data, and systems layer that Finance and executive leadership run ... Interest in how a business operates end to end Why This Role Most entry-level finance roles give ...

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Entry-Level Administrative Assistant - Itasca, IL $45,000 - $52,000/Annually - plus full benefits ... Strong attention to detail with an analytical, data-focused mindset * Ability to prioritize tasks ...

Showing results 41-60

Entry Level Data Analyst information

See Chicago, IL salary details

$13

$33

$63

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

As of Aug 23, 2026, the average hourly pay for entry level data analyst in Chicago, IL is $33.95, according to ZipRecruiter salary data. Most workers in this role earn between $21.83 and $37.93 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.

What are the most commonly searched types of Data Analyst jobs in Chicago, IL?

The most popular types of Data Analyst jobs in Chicago, IL are:

What are popular job titles related to Entry Level Data Analyst jobs in Chicago, IL?

For Entry Level Data Analyst jobs in Chicago, IL, the most frequently searched job titles are:

What cities near Chicago, IL are hiring for Entry Level Data Analyst jobs?

Cities near Chicago, IL with the most Entry Level Data Analyst job openings:

Infographic showing various Entry Level Data Analyst job openings in Chicago, IL as of August 2026, with employment types broken down into 61% Full Time, 13% Part Time, 13% Temporary, and 13% Contract. Highlights an 74% In-person, 13% Hybrid, and 13% Remote job distribution, with an average salary of $70,607 per year, or $33.9 per hour.

Financial Risk & Markets- Data & Technology - Experienced Associate

Pwc

Chicago, IL • On-site

$63K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

The Opportunity
As a Financial Risk & Markets- Data & Technology - Experienced Associate, you will leverage advanced analytical techniques to extract insights from large datasets, driving data-driven decision-making for our clients. Within our Technology Consulting practice, you will focus on utilizing data manipulation, visualization, and statistical modeling to support clients in solving complex business problems and optimizing their operations to achieve strategic goals.
As an Associate, you will be driven by curiosity and contribute reliably to client engagements and projects. You will adapt to working with diverse clients and team members, each presenting unique challenges and opportunities for growth. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. In this role at PwC, you will build a brand for yourself, opening doors to more opportunities as you navigate through the firm. You will apply a learning mindset, appreciate diverse perspectives, and develop your potential while actively listening and expressing ideas clearly. This position offers a dynamic environment where you can grow your skills and deepen your understanding of the business context.
Responsibilities
- Conducting complex data analysis to extract insights and support data-driven decision-making
- Utilizing advanced analytical techniques to optimize client operations and achieve strategic goals
- Leveraging skills in data manipulation, visualization, and statistical modeling to solve business problems
- Developing and maintaining data pipelines and integration processes to validate data quality and integrity
- Creating dashboards and reports using tools like Power BI and Tableau to visualize data trends and performance metrics
- Applying machine learning algorithms and predictive modeling to enhance data analysis capabilities
- Collaborating with team members and clients to gather information and analyze facts for informed insights
- Implementing data security measures and validation processes to protect sensitive information
- Engaging in research and algorithm development to improve data analysis methodologies
- Supporting client engagements by adapting to varying challenges and scopes within a fast-paced environment
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Demonstrating proficiency in data analysis and visualization tools
- Utilizing machine learning techniques for financial risk analysis
- Engaging in complex data modeling and statistical analysis
- Applying algorithm development skills in data-driven projects
- Excelling in dashboard creation and data integration tasks

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK