ZipRecruiter

Log In

2

Entry Level Deloitte Data Analytics Jobs in Chicago, IL

Dhalite Inc.

Entry level Data Analyst

Chicago, IL · On-site

Job Summary We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills ...

next page

Showing results 1-20

All JobsDeloitte Data Analytics JobsEntry Level Deloitte Data Analytics JobsEntry Level Deloitte Data Analytics Jobs in Chicago, IL

Entry Level Deloitte Data Analytics information

See Chicago, IL salary details

$25

$56

$97

How much do entry level deloitte data analytics jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for entry level deloitte data analytics in Chicago, IL is $56.40, according to ZipRecruiter salary data. Most workers in this role earn between $45.34 and $63.89 per hour, depending on experience, location, and employer.

What are some entry level Deloitte Data Analytics roles?

Entry level Deloitte Data Analytics roles typically include positions such as Data Analyst, Business Analyst, or Data Coordinator. These roles involve analyzing data sets, using tools like Excel, SQL, or Tableau, and supporting data-driven decision-making within the firm. They often require strong analytical skills, attention to detail, and a willingness to learn new technologies.

What is an entry level Deloitte data analytics job?

Entry Level Deloitte Data Analytics jobs are positions designed for recent graduates or individuals with limited professional experience who are interested in starting a career in data analytics at Deloitte. These roles typically involve collecting, processing, and analyzing data to help clients make informed business decisions. Employees in these positions work with experienced teams, utilize various analytics tools, and receive on-the-job training to develop technical and consulting skills. They may also assist in creating reports, dashboards, and presentations to communicate findings. This is a great starting point for those looking to grow in the field of data analytics and consulting.

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

To thrive as an Entry Level Deloitte Data Analytics professional, you need a strong foundation in quantitative analysis, statistics, and a relevant degree such as business, computer science, or mathematics. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as SQL, Python, or R), and Excel is typically required, and certifications in analytics or cloud platforms are advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and present insights to stakeholders. These skills are crucial for delivering actionable, high-quality analyses that support client decision-making and drive business value.

What is the difference between Entry Level Deloitte Data Analytics vs Entry Level Data Analyst?

AspectEntry Level Deloitte Data AnalyticsEntry Level Data Analyst
Required CredentialsBachelor's degree in related field; some certifications like Microsoft Excel, TableauBachelor's degree in data-related field; certifications like Excel, SQL, Tableau are common
Work EnvironmentConsulting firm environment, client-facing projects, team collaborationCorporate or organizational setting, data processing, reporting, analysis tasks
Employer & Industry UsageUsed by Deloitte and similar consulting firms across industriesUsed across various industries including finance, healthcare, tech

Both roles involve data analysis skills, but Entry Level Deloitte Data Analytics typically emphasizes consulting projects, client interaction, and working within a consulting firm environment. Entry Level Data Analyst roles are more focused on internal organizational data processing and reporting. The choice depends on whether you prefer consulting or in-house data work.

What types of projects do entry level Deloitte data analytics professionals typically work on, and how much client interaction is involved?

As an entry-level data analytics professional at Deloitte, you can expect to work on a variety of projects, including data visualization, dashboard development, data cleaning, and assisting with the analysis of large data sets to provide insights for client decision-making. Typically, you will collaborate closely with more experienced team members, such as data scientists and consultants, and may have some exposure to client-facing meetings, especially as you gain confidence and expertise. Your role will often involve both independent tasks and teamwork, providing a balance of technical skill development and professional communication experience.
What are the most commonly searched types of Deloitte Data Analytics jobs in Chicago, IL? The most popular types of Deloitte Data Analytics jobs in Chicago, IL are:
Entry Level Deloitte Data Analytics jobs near you
Infographic showing various Entry Level Deloitte Data Analytics job openings in Chicago, IL as of July 2026, with employment types broken down into 33% Internship, 34% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $117,306 per year, or $56.4 per hour.

Consultative Offerings - Analyst - Forensic Analytics

Deloitte

Chicago, IL • On-site

Other

Re-posted 21 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

Are you ready to go beyond your potential and reach something greater? At Deloitte, we believe in more than just growth-we believe in exponential possibilities. Here, your unique talents and ambitions are amplified by the power of our collaborative teams, innovative thinking, and mentorship. When you join Deloitte, you don't just build a career-you unlock unlimited opportunities, shaping your future and the world around you. Take the power of you and put it to the power of Deloitte. Reach your exponential!

As a Forensic Analytics Analyst, you'll use your technology and data analytics skills to help clients address business challenges related to regulatory, risk, and forensic issues. You'll develop data analysis plans, create analytics strategies, assess models, and design solutions. By analyzing risk through data and technology, you'll help build a more trustworthy and reliable world.

Work You'll Do

As a Forensic Analytics Analyst, you will:

  • Join a fast-growing practice focused on Digital Forensics, Anti-Money Laundering Analytics, and Forensic Analytics, where you'll collaborate with attorneys, forensic accountants, and investigators on a wide range of complex and high-impact projects
  • Leverage data, statistical and quantitative analysis, rules-based methods, and predictive modeling to deliver insights into forensic challenges, including supporting engagements such as investigations, anti-corruption compliance, restructuring, safety, quality, and enterprise fraud management
  • Apply advanced analytics, AI, GenAI, and machine learning to help clients stay at the cutting edge and explain past events while supporting informed decision-making for the future
  • Analyze and manage high-performance relational databases (e.g., SQL Server, Oracle, Microsoft Access, OLAP, and proprietary platforms) to uncover critical insights
  • Query and mine large datasets to identify transaction patterns, examine financial data, and filter for targeted information relevant to forensic investigations and compliance
  • Design and develop predictive analytics models, text analytics solutions, and cognitive computing frameworks to detect anomalies and hidden patterns
  • Build and maintain interactive dashboards to visualize and integrate data from across the globe, employing specialized competencies such as advanced analytics, visualization, and geospatial techniques
  • Engage with multidisciplinary teams of data analytics experts, software engineers, and business analysts to develop data-driven solutions for regulatory risk, anti-money laundering, and fraud management using both traditional and emerging technologies
  • Contribute to practice technology initiatives and investments, demonstrating adaptability, leadership, and a continuous learning mindset in an environment that fosters outstanding growth and advancement
Regardless of type of work, your work may require:

  • Strong verbal and written communication skills for effective client and team interactions
  • Ability to work independently and manage multiple responsibilities in a fast-paced environment
  • Problem-solving and critical thinking skills to drive innovation and operational improvements
  • Collaborative mindset with the ability to communicate across Deloitte teams and client stakeholders
  • Quick to learn and apply new concepts, frameworks, and emerging technologies
  • Proactive in managing personal and professional growth and expanding consulting skills
  • Solid understanding of Windows-based systems and proficiency with Microsoft Excel, Word, and PowerPoint
The Team

Our Deloitte team plays a major role in directly embedding technology insights into our clients' organizational goals. At Deloitte, our consultants create sharply-focused solutions within an organization's operating model, accounting for its people, intellectual capital, technology, and processes. Engagement teams at Deloitte drive value for our clients but also understand the importance of developing resources and contributing to the communities in which we work. We make it our business to take issue to impact, both within and beyond a client setting.

Required Qualifications

  • Must be currently enrolled in an accredited college or university and expected to graduate by Spring/Summer 2027 pursuing a bachelor's degree or higher in one of the following majors or a related/equivalent program:
    • Technology: Data Analytics, Computer Science, Management Information Systems
    • Business: Econometrics, Quantitative Finance, Finance, Accounting, Business Analytics
    • Math/Engineering: Industrial Engineering, Computer Engineering, Financial Engineering, Mathematics, Statistics, Actuarial Mathematics
  • Strong academic track record (3.0 cumulative GPA required, 3.2 cumulative GPA preferred).
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Candidates must be at least 18 years of age at time of employment
  • Must live within a commutable distance to your assigned office (e.g. 100-mile radius) with the ability to commute daily, if required, upon start date
Preferred Qualifications

  • Relevant work experience or work experience in a professional environment (e.g. internships, summer positions, school jobs)
  • Familiarity with a variety of analytics tools and programming languages such as, but not limited to:
    • Microsoft SQL Server, Oracle
    • Predictive Analytics/Data Mining: (e.g. Python)
    • Data Visualization Tools (e.g. QlikView, Tableau, Power Bi)
    • Big Data Tools (e.g. Hadoop, Hive, Pig, Impala, Mahout)
    • Reporting Tools (e.g. Business Objects, Reporting Services)
    • Machine Learning / GenAI
    • Cloud Computing (e.g. AWS, Azure, etc.)
OR
  • Meet minimal educational requirements for CPA licensure (which may differ from the educational requirements to sit for the CPA exam) in the state of your assigned office location

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate is $95,000.

Qualifications:
Are you ready to go beyond your potential and reach something greater? At Deloitte, we believe in more than just growth-we believe in exponential possibilities. Here, your unique talents and ambitions are amplified by the power of our collaborative teams, innovative thinking, and mentorship. When you join Deloitte, you don't just build a career-you unlock unlimited opportunities, shaping your future and the world around you. Take the power of you and put it to the power of Deloitte. Reach your exponential!

As a Forensic Analytics Analyst, you'll use your technology and data analytics skills to help clients address business challenges related to regulatory, risk, and forensic issues. You'll develop data analysis plans, create analytics strategies, assess models, and design solutions. By analyzing risk through data and technology, you'll help build a more trustworthy and reliable world.

Work You'll Do

As a Forensic Analytics Analyst, you will:

  • Join a fast-growing practice focused on Digital Forensics, Anti-Money Laundering Analytics, and Forensic Analytics, where you'll collaborate with attorneys, forensic accountants, and investigators on a wide range of complex and high-impact projects
  • Leverage data, statistical and quantitative analysis, rules-based methods, and predictive modeling to deliver insights into forensic challenges, including supporting engagements such as investigations, anti-corruption compliance, restructuring, safety, quality, and enterprise fraud management
  • Apply advanced analytics, AI, GenAI, and machine learning to help clients stay at the cutting edge and explain past events while supporting informed decision-making for the future
  • Analyze and manage high-performance relational databases (e.g., SQL Server, Oracle, Microsoft Access, OLAP, and proprietary platforms) to uncover critical insights
  • Query and mine large datasets to identify transaction patterns, examine financial data, and filter for targeted information relevant to forensic investigations and compliance
  • Design and develop predictive analytics models, text analytics solutions, and cognitive computing frameworks to detect anomalies and hidden patterns
  • Build and maintain interactive dashboards to visualize and integrate data from across the globe, employing specialized competencies such as advanced analytics, visualization, and geospatial techniques
  • Engage with multidisciplinary teams of data analytics experts, software engineers, and business analysts to develop data-driven solutions for regulatory risk, anti-money laundering, and fraud management using both traditional and emerging technologies
  • Contribute to practice technology initiatives and investments, demonstrating adaptability, leadership, and a continuous learning mindset in an environment that fosters outstanding growth and advancement
Regardless of type of work, your work may require:

  • Strong verbal and written communication skills for effective client and team interactions
  • Ability to work independently and manage multiple responsibilities in a fast-paced environment
  • Problem-solving and critical thinking skills to drive innovation and operational improvements
  • Collaborative mindset with the ability to communicate across Deloitte teams and client stakeholders
  • Quick to learn and apply new concepts, frameworks, and emerging technologies
  • Proactive in managing personal and professional growth and expanding consulting skills
  • Solid understanding of Windows-based systems and proficiency with Microsoft Excel, Word, and PowerPoint
The Team

Our Deloitte team plays a major role in directly embedding technology insights into our clients' organizational goals. At Deloitte, our consultants create sharply-focused solutions within an organization's operating model, accounting for its people, intellectual capital, technology, and processes. Engagement teams at Deloitte drive value for our clients but also understand the importance of developing resources and contributing to the communities in which we work. We make it our business to take issue to impact, both within and beyond a client setting.

Required Qualifications

  • Must be currently enrolled in an accredited college or university and expected to graduate by Spring/Summer 2027 pursuing a bachelor's degree or higher in one of the following majors or a related/equivalent program:
    • Technology: Data Analytics, Computer Science, Management Information Systems
    • Business: Econometrics, Quantitative Finance, Finance, Accounting, Business Analytics
    • Math/Engineering: Industrial Engineering, Computer Engineering, Financial Engineering, Mathematics, Statistics, Actuarial Mathematics
  • Strong academic track record (3.0 cumulative GPA required, 3.2 cumulative GPA preferred).
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Candidates must be at least 18 years of age at time of employment
  • Must live within a commutable distance to your assigned office (e.g. 100-mile radius) with the ability to commute daily, if required, upon start date
Preferred Qualifications

  • Relevant work experience or work experience in a professional environment (e.g. internships, summer positions, school jobs)
  • Familiarity with a variety of analytics tools and programming languages such as, but not limited to:
    • Microsoft SQL Server, Oracle
    • Predictive Analytics/Data Mining: (e.g. Python)
    • Data Visualization Tools (e.g. QlikView, Tableau, Power Bi)
    • Big Data Tools (e.g. Hadoop, Hive, Pig, Impala, Mahout)
    • Reporting Tools (e.g. Business Objects, Reporting Services)
    • Machine Learning / GenAI
    • Cloud Computing (e.g. AWS, Azure, etc.)
OR
  • Meet minimal educational requirements for CPA licensure (which may differ from the educational requirements to sit for the CPA exam) in the state of your assigned office location

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organiza...

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply