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Deloitte Data Analytics Jobs in Illinois (NOW HIRING)

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments ... Analyze financial & key performance indicator deal data for trends and outliers * Directly advise ...

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Deloitte Data Analytics information

See Illinois salary details

$44.6K

$159.9K

$236K

How much do deloitte data analytics jobs pay per year?

As of Aug 21, 2026, the average yearly pay for deloitte data analytics in Illinois is $159,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,400.00 and $164,700.00 per year, depending on experience, location, and employer.

What does a Deloitte Data Analytics professional do?

A Deloitte Data Analytics professional leverages data analysis tools and techniques to help clients make informed business decisions. Their responsibilities include collecting, processing, and interpreting large sets of data to uncover trends and insights. They work with advanced analytics, machine learning, and data visualization to solve complex business challenges across various industries. By turning raw data into actionable information, Deloitte Data Analytics professionals drive strategic growth and operational efficiency for their clients.

What are the key skills and qualifications needed to thrive as a Deloitte Data Analytics professional?

To thrive as a Data Analytics professional at Deloitte, you need strong analytical skills, proficiency in statistics, and a solid educational background in fields like mathematics, computer science, or engineering. Familiarity with data analytics tools such as SQL, Python, R, Tableau, and relevant certifications like Certified Analytics Professional (CAP) are highly valuable. Exceptional problem-solving, communication, and teamwork abilities help you interpret data insights and collaborate with clients and colleagues. These skills ensure you can deliver data-driven solutions that support business decision-making and drive client success.

What are some common challenges faced by Deloitte Data Analytics professionals, and how are they typically addressed?

Data analytics professionals at Deloitte often encounter challenges such as working with large, complex datasets from diverse sources and ensuring data quality and integrity. Client expectations can also add pressure to deliver actionable insights within tight deadlines. To address these challenges, teams at Deloitte emphasize collaborative problem-solving, leverage advanced analytical tools, and follow strict data governance protocols. Ongoing training and support from experienced colleagues help team members continuously improve their technical and communication skills.

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

AspectDeloitte Data AnalyticsData Analyst
Required CredentialsBachelor's degree in related field, certifications like Tableau, Power BI, or SQL often preferredBachelor's degree in data-related field; certifications are a plus but not mandatory
Work EnvironmentConsulting firm environment, client-facing projects, collaborative teamsCorporate or organizational setting, focus on internal data analysis
Employer & Industry UsageUsed by Deloitte in consulting and advisory services across industriesCommon in various industries for internal data reporting and analysis

While Deloitte Data Analytics involves working within a consulting firm to deliver data-driven solutions to clients, Data Analysts typically focus on analyzing internal company data to support decision-making. Both roles require similar skills and certifications, but Deloitte Data Analytics often involves client interaction and project management in a consulting context.

What are the most commonly searched types of Deloitte Data Analytics jobs in Illinois?

The most popular types of Deloitte Data Analytics jobs in Illinois are:

What are popular job titles related to Deloitte Data Analytics jobs in Illinois?

For Deloitte Data Analytics jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Deloitte Data Analytics jobs in Illinois look for?

The top searched job categories for Deloitte Data Analytics jobs in Illinois are:

What cities in Illinois are hiring for Deloitte Data Analytics jobs?

Cities in Illinois with the most Deloitte Data Analytics job openings:

Infographic showing various Deloitte Data Analytics job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $159,907 per year, or $76.9 per hour.

Consultative Offerings - Analyst - Forensic Analytics

Deloitte

Chicago, IL • On-site

Full-time

Re-posted 3 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 151 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.

Recruiting for this role ends on 11/01/2026.

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 or have completed a bachelor's degree or higher in Technology, Data Analytics, Computer Science, and Computer Engineering or a related/equivalent program
  • Strong academic track record (3.0 cumulative GPA required)
  • 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 25%, 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
  • You must reside within a commutable distance of your assigned office with the ability to commute daily, if required

Preferred Qualifications

  • Strong academic track record (3.2 cumulative GPA required).
  • 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.)

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.

Recruiting for this role ends on 11/01/2026.

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 or have completed a bachelor's degree or higher in Technology, Data Analytics, Computer Science, and Computer Engineering or a related/equivalent program
  • Strong academic track record (3.0 cumulative GPA required)
  • 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 25%, 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
  • You must reside within a commutable distance of your assigned office with the ability to commute daily, if required

Preferred Qualifications

  • Strong academic track record (3.2 cumulative GPA required).
  • 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.)

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.

Education:Bachelor's DegreeEmployment Type:

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