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Entry Level Behavioral Data Science Jobs in Chicago, IL

Pwc

Data Validation Risk - Senior Associate

Chicago, IL

$77K - $202K/yr

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 ...

Brown and Caldwell

Associate Data Analyst

Chicago, IL · On-site

... scientists, and business stakeholders. * Conduct exploratory data analysis using statistical ... Visualize trends over time, segment customer behavior, and identify key performance drivers using ...

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Entry Level Behavioral Data Science information

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

As of Aug 9, 2026, the average hourly pay for entry level behavioral data science in Chicago, IL is $20.06, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $22.55 per hour, depending on experience, location, and employer.

What does an entry level behavioral data scientist do?

An entry level behavioral data scientist analyzes data related to human behavior to identify patterns and insights. They use statistical tools and programming languages like Python or R, often working with large datasets, to support decision-making and improve user experiences. This role typically requires knowledge of data analysis, behavioral theories, and data visualization techniques.

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 the most commonly searched types of Behavioral Data Science jobs in Chicago, IL? The most popular types of Behavioral Data Science jobs in Chicago, IL are:
What are popular job titles related to Entry Level Behavioral Data Science jobs in Chicago, IL? For Entry Level Behavioral Data Science jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Entry Level Behavioral Data Science jobs in Chicago, IL look for? The top searched job categories for Entry Level Behavioral Data Science jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Entry Level Behavioral Data Science jobs? Cities near Chicago, IL with the most Entry Level Behavioral Data Science job openings:
Entry Level Behavioral Data Science jobs near you

Data Validation Risk - Senior Associate

Pwc

Chicago, IL

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

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

Senior Associate

Job Description & Summary

The Opportunity
As a Data Validation Risk - Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Risk & Regulatory practice, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role at PwC, you will leverage advanced technologies and techniques to design and develop robust data validation solutions for clients. You will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems, interpreting data to inform insights and recommendations. Upholding professional and technical standards, you will contribute to the firm's code of conduct and independence requirements.
Responsibilities
- Utilizing data validation tools to facilitate efficient data conversions and ERP implementations
- Developing data integration and transformation solutions to support client needs
- Building and maintaining data infrastructure to support scalable data solutions
- Applying data lifecycle and governance skills (data lineage, traceability, data quality, reliability and accuracy) on data and ERP implementations
- Managing data validation processes to maintain data quality and integrity
- Collaborating with clients to understand their data requirements and deliver tailored solutions
- Manipulating large and complex data sets using Excel, Alteryx, SQL, Python, Databricks, or Snowflake
- Engaging in continuous learning to adapt to emerging data technologies and methodologies
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
- Ability to manipulate large and complex data sets using Excel, Alteryx, SQL, Python, Databricks, or Snowflake
- Utilizing advanced skills in data validation and transformation processes
- Applying analytical thinking to solve complex data challenges
- Leveraging experience with cloud platforms such as AWS and Azure
- Experience related to IT Audit/SOX or Data Migration/Conversion/Integration
- Embracing change and demonstrating learning agility in dynamic environments

Travel Requirements

Up to 40%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. 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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