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Entry Level Behavioral Data Science Jobs in Aurora, IL

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative ... S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other ...

Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Behavioral Data Science information

See Aurora, IL salary details

$10

$19

$28

How much do entry level behavioral data science jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for entry level behavioral data science in Aurora, IL is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.68 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Behavioral Data Science vs Entry Level Data Analyst?

AspectEntry Level Behavioral Data ScienceEntry Level Data Analyst
Required CredentialsBachelor's in Psychology, Data Science, or related fields; basic knowledge of statistics and programmingBachelor's in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentResearch settings, tech companies, or consulting firms focusing on human behavior analysisBusiness environments, marketing firms, or finance departments analyzing data trends
Employer & Industry UsageOrganizations studying consumer behavior, user experience, or social sciencesCompanies seeking to interpret data for decision-making, reporting, and operational insights

Entry Level Behavioral Data Science focuses on understanding human behavior through data, often requiring knowledge of psychology and statistics. Entry Level Data Analysts primarily interpret and visualize data to support business decisions. While both roles require analytical skills, behavioral data science emphasizes behavioral insights, whereas data analysts focus on data reporting and visualization.

What are popular job titles related to Entry Level Behavioral Data Science jobs in Aurora, IL?

For Entry Level Behavioral Data Science jobs in Aurora, IL, the most frequently searched job titles are:

What job categories do people searching Entry Level Behavioral Data Science jobs in Aurora, IL look for?

The top searched job categories for Entry Level Behavioral Data Science jobs in Aurora, IL are:

What cities near Aurora, IL are hiring for Entry Level Behavioral Data Science jobs?

Cities near Aurora, IL with the most Entry Level Behavioral Data Science job openings:

Financial Risk & Markets- Data & Technology - Experienced Associate

Pwc

Chicago, IL • On-site

$63K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 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.

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

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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