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Entry Level Behavioral Data Science Jobs in Elgin, IL

Job Summary The Manager, Data Science supports customer analytics across Marketing, Loyalty, CRM, and Digital, helping teams understand customer behavior, engagement, retention, and lifetime value.

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... behavior, and commercial strategy. The Data Scientist partners closely with Commercial Analytics ... You can bridge technical depth and business context, converting data science outputs into clear ...

... behavior, and commercial strategy. The Data Scientist partners closely with Commercial Analytics ... You can bridge technical depth and business context, converting data science outputs into clear ...

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... 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 Elgin, IL salary details

$10

$19

$28

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

As of Sep 13, 2026, the average hourly pay for entry level behavioral data science in Elgin, IL is $19.25, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $21.63 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 the most commonly searched types of Behavioral Data Science jobs in Elgin, IL?

The most popular types of Behavioral Data Science jobs in Elgin, IL are:

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

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

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

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

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

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

Manager, Data Science

Deerfield, IL • On-site

Walgreens
Pharmaceutical and Medicine Manufacturing • 51 - 200 employees

Full-time

Posted 2 days ago

New


Walgreens rating

5.5

Company rating: 5.5 out of 10

Based on 2,245 frontline employees who took The Breakroom Quiz


Job description


Job Summary
The Manager, Data Science supports customer analytics across Marketing, Loyalty, CRM, and Digital, helping teams understand customer behavior, engagement, retention, and lifetime value. This role manages data science workstreams focused on customer segmentation, propensity modeling, personalization, journey analytics, loyalty analytics, audience insights, experimentation (A/B testing), and customer-level performance measurement. The Manager integrates large, complex customer datasets and translates advanced analyses into clear, actionable recommendations that improve customer engagement, strengthen loyalty, inform business decisions, and accelerate growth. As a cross-functional partner to business and analytics leaders, this role helps execute customer analytics strategy, identify opportunities to enhance customer experiences, and build scalable analytical capabilities across the organization.
Job Responsibilities
  • Manages the daily operational activities that develop and implement tactical plans for specified area. Oversees team(s) assigned to projects and may manage implementations. Ensures resources are accurately allocated in line with tactical plans and appropriately accounted for.
  • Designs, develops, and implements methods, processes and systems to consolidate and analyze diverse data sets including structured and unstructured. Performs as subject matter advisor and may serve as point of escalation and become actively involved, as required, to meet schedules and resolve problems highly complex in nature.
  • Manages issues proactively, including timely resolution and the identification of remediation opportunities.
  • Develops software programs, algorithms, dashboards, information tools, and queries to clean, model, integrate and evaluate datasets.
  • Keeps abreast of new analytic methodologies and technologies.
  • Collaborates with functional business units to drive business solutions and direction.
  • Establishes credibility with partners while managing expectations. Ensures frequent, continuous and effective communications with team members, and with stakeholders to set expectations and negotiate priorities appropriately, via both formal and informal channels / mechanisms.
  • May develop budget for functional area. Manages budget to plan. May be accountable for area budget and delivering against business goals/objectives.
  • Stays abreast of industry leading best practices and brings them to the attention of the leadership team for innovative application. May develop partnerships (and relationships) with internal and external stakeholders to meet business needs.
  • Allocates available resources to meet operating objectives. Develops and mentors staff through on-boarding, open communication, training and development opportunities and performance management processes; builds and maintains employee morale and motivation; ensures the team is appropriately staffed with required competencies; fosters a diverse and inclusive workplace.
About Walgreens
Founded in 1901, Walgreens (www.walgreens.com) proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for pharmacy, retail and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities.
External Basic Qualifications
  • Bachelor's degree and at least 4 years of experience in quantitative or computational functions; or graduate degree in a quantitative, computational or technical discipline and at least 2 years of experience in quantitative or computational functions.
  • Experience with analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS and/or others to perform analysis and interpret data
  • Deep knowledge of SQL
  • Deep knowledge of open source data science and statistics packages such as Python, R, Spark, etc.
  • Experience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to develop strategies that meet department goals within budget and timelines.
  • At least 2 years of experience contributing to financial decisions in the workplace.
  • At least 2 years of direct leadership, indirect leadership and/or cross-functional team leadership.
  • Willing to travel up to 10% of the time for business purposes (within state and out of state).

Preferred Qualifications
  • Graduate degree in statistics, data science, applied mathematics, computer science, or a related quantitative discipline.
  • Experience leading customer analytics, measurement, or data science teams.
  • Expertise in machine learning modeling using customer-level data.
  • Experience partnering with external measurement providers and technology vendors to deliver insights.
We will consider employment of qualified applicants with arrest and conviction records.
The Salary below is being provided to promote pay transparency and equal employment opportunities at Walgreens. The actual hourly salary within this range that you will be offered will depend on a variety of factors including geography, skills and abilities, education, experience and other relevant factors. This role will remain open until filled. To review benefits, please click here jobs.walgreens.com/benefits. If you are applying on a job board or unable to click on the link, please copy and paste this URL into your browser jobs.walgreens.com/benefits

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