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Associate Data Modeler Jobs in Chicago, IL (NOW HIRING)

Data Engineer

Chicago, IL · On-site

$140K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Your Future Team The Associate, Data Engineer, reporting to the Managing Director, Software ... Partner with data scientists and analysts to model data in Snowflake, ensuring datasets are well ...

Data Engineer

Chicago, IL · Hybrid

$140K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Your Future Team The Associate, Data Engineer, reporting to the Managing Director, Software ... Partner with data scientists and analysts to model data in Snowflake, ensuring datasets are well ...

Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem ... Hybrid working model: We are committed to giving our employees a flexible and connected way of ...

Data Operations Engineer Associate

Chicago, IL · On-site

$145K/yr

  • Medical

  • Dental

  • Vision

Associates play an indispensable role at Huron. Data Operations Engineer Associates focus on ... Develop and optimize data models and DAX calculations to support scalable, high‑performance ...

Applied AI/ML Senior Associate

Chicago, IL

$60K - $61K/yr

  • Medical

  • Retirement

Partner with Risk and Compliance teams to ensure comprehensive model documentation, track ... Master's degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics ...

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build and maintain SSAS tabular models, including data modeling, DAX calculations, relationships ... Microsoft Certified: Data Analyst Associate, Power BI Data Analyst, or Azure Data Engineer.

Data Engineer

Downers Grove, IL

$114K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build and maintain SSAS tabular models, including data modeling, DAX calculations, relationships ... Microsoft Certified: Data Analyst Associate, Power BI Data Analyst, or Azure Data Engineer.

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build and maintain SSAS tabular models, including data modeling, DAX calculations, relationships ... Microsoft Certified: Data Analyst Associate, Power BI Data Analyst, or Azure Data Engineer.

Data Engineer

Downers Grove, IL

$114K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build and maintain SSAS tabular models, including data modeling, DAX calculations, relationships ... Microsoft Certified: Data Analyst Associate, Power BI Data Analyst, or Azure Data Engineer.

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Expertise in data modeling, ETL processes, and data pipeline development. * Extensive experience ... Preferred certifications such as Databricks Professional or Azure Data Engineer Associate

Showing results 21-40

Associate Data Modeler information

See Chicago, IL salary details

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How much do associate data modeler jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for associate data modeler in Chicago, IL is $60.48, according to ZipRecruiter salary data. Most workers in this role earn between $54.23 and $70.34 per hour, depending on experience, location, and employer.

What is an associate data modeler?

An Associate Data Modeler is an entry-level professional who assists in designing, creating, and maintaining data models that define how data is structured and used within an organization. They work closely with senior data modelers, database administrators, and business analysts to ensure data models accurately reflect business needs and support data integrity. Responsibilities often include developing entity-relationship diagrams, documenting data definitions, and helping to translate business requirements into technical specifications. This role is important in supporting data-driven decision making and efficient database design.

What is the difference between Associate Data Modeler vs Data Analyst?

AspectAssociate Data ModelerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; familiarity with data modeling toolsBachelor's in Statistics, Math, or related; proficiency in data analysis tools
Work EnvironmentData teams, IT departments, database environmentsBusiness units, reporting teams, data visualization settings
Employer & Industry UsageTech, finance, healthcare, and data-driven industriesMarketing, finance, healthcare, and business sectors

The Associate Data Modeler focuses on designing and maintaining data structures and models, working closely with database systems. In contrast, a Data Analyst interprets data, creates reports, and provides insights. While both roles require data-related skills, the Associate Data Modeler emphasizes data architecture, whereas the Data Analyst emphasizes data interpretation and reporting.

What are the key skills and qualifications needed to thrive as an associate data modeler, and why are they important?

To thrive as an Associate Data Modeler, you need a solid understanding of database design principles, data analysis, and proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with data modeling tools like ERwin, Microsoft Visio, or IBM InfoSphere, as well as knowledge of relational database management systems (RDBMS), is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret business requirements and collaborate with technical teams. These competencies ensure accurate data representation, efficient database structures, and alignment with organizational data needs.

What are some typical projects or tasks that an associate data modeler might work on in the first year?

As an Associate Data Modeler, you can expect to support senior data modelers and data architects in designing, developing, and maintaining data models for various business applications. Typical projects include translating business requirements into logical and physical data models, normalizing data structures, and assisting in data mapping or integration efforts. You may also participate in data governance initiatives, review existing data models for optimization, and collaborate with cross-functional teams such as business analysts, database developers, and IT staff. These experiences will help you build a strong foundation for more advanced data architecture roles in the future.

What are the most commonly searched types of Data Modeler jobs in Chicago, IL?

The most popular types of Data Modeler jobs in Chicago, IL are:

What are popular job titles related to Associate Data Modeler jobs in Chicago, IL?

For Associate Data Modeler jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Associate Data Modeler jobs in Chicago, IL look for?

The top searched job categories for Associate Data Modeler jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Associate Data Modeler jobs?

Cities near Chicago, IL with the most Associate Data Modeler job openings:

Infographic showing various Associate Data Modeler job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $125,804 per year, or $60.5 per hour.

$60K - $61K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago


Job description

Company Description

PHM is the leading health media agency in the US, built for the modern healthcare experience. Here, industry depth meets media scale, where data becomes direction, where creativity and storytelling bring truth to life, and where orchestration replaces fragmentation.

Dedicated to making brands discovered, PHM redefines what media can do through data, content, and creativity. Because in modern healthcare, the brands that are found are the ones that lead. And when brands lead, advantage follows. Go deeper. Be found.

Job Description

Position Summary

This role plays a key role in delivering advanced analytics and audience solutions for pharmaceutical and healthcare clients. Working closely with senior Data Science leadership, this role applies to statistical modeling, machine learning, and AI-driven approaches to transform complex data into actionable insights that inform marketing strategy, audience engagement, and business decisions.

You will serve as a technical lead across multiple client engagements, partnering with cross-functional teams to develop privacy-compliant, data-driven solutions. This individual combines strong analytical expertise with a consultative mindset and a passion for solving complex business challenges through data.

Responsibilities

Key Responsibilities

  • Lead the design, development, validation, and deployment of statistical models, predictive analytics, and machine learning solutions for client and internal initiatives.
  • Consult with client teams and internal stakeholders to understand business objectives, audience strategies, and measurement needs, translating those into scalable analytical approaches.
  • Analyze large, complex datasets using privacy-compliant data sources to uncover actionable insights that inform audience segmentation, targeting, optimization, and campaign performance.
  • Leverage healthcare-specific data assets, including HCP/NPI-level, claims, prescription, and other healthcare data sources, to develop actionable audience, measurement, and commercial insights while ensuring compliance with HIPAA and applicable privacy regulations.
  • Apply advanced media measurement methodologies, including marketing mix modeling (MMM), multi-touch attribution, incrementality testing, lift studies, and experimental design to evaluate campaign effectiveness and optimize marketing investments.
  • Apply advanced statistical methods, predictive modeling, and supervised and unsupervised machine learning techniques to solve marketing and business challenges.
  • Develop practical applications of AI and advanced analytics to improve insights, workflow efficiency, and decision-making.
  • Leverage cloud-based data platforms and modern analytics environments to extract, transform, and analyze data from a variety of sources.
  • Build clear presentations, dashboards, and visualizations that communicate analytical findings and strategic recommendations to technical and non-technical audiences.
  • Drive automation of recurring analyses, reporting, and model monitoring to improve operational efficiency and scalability.
  • Promote best practices in statistical analysis, model validation, documentation, data quality, and reproducible analytics.
  • Collaborate closely with Strategy, Media, Technology, Analytics, and Client teams to deliver integrated, data-driven solutions.
  • Mentor Data Scientists and Analysts by providing technical guidance, coaching, and support for ongoing development.
  • Stay current on emerging analytics, AI, and healthcare marketing trends, contributing ideas that strengthen the agency's analytics capabilities and offering
Qualifications

Requirements

  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field or Master's degree preferred.
  • 7+ years of experience in data science, statistical modeling, machine learning, predictive analytics, or marketing analytics.
  • Experience leading complex analytics projects and providing technical leadership to cross-functional teams.
  • Advanced proficiency in Python, R, SQL, and modern data visualization tools.
  • Experience working with cloud-based analytics platforms such as Azure, Databricks, Snowflake, AWS, or similar technologies.
  • Experience in applying AI and advanced analytics to solve complex business problems and improve marketing effectiveness.
  • Strong understanding of statistical modeling, machine learning, predictive analytics, experimental design, media measurement methodologies (including marketing mix modeling, attribution, incrementality, and lift testing), and data visualization techniques.
  • Excellent communication and presentation skills with the ability to translate complex analytical concepts into clear, actionable recommendations.

Preferred Qualifications

  • Demonstrated ability to manage multiple client engagements and priorities in a fast-paced, collaborative environment.
  • Experience mentoring junior team members and fostering technical best practices.
  • Experience within healthcare, pharmaceutical, life sciences, or marketing analytics.
  • Experience working with healthcare and pharmaceutical data sources, including HCP/NPI-level data, medical and pharmacy claims, prescription data, and commercial healthcare datasets.
  • Familiarity with healthcare data vendors and platforms, including HealthVerity, Symphony Health, MMIT, Komodo Health, IQVIA, PurpleLab, or similar data providers.
  • Experience working within privacy-safe data environments, including clean rooms and HIPAA-compliant environments, with knowledge of PHI, de-identified, and limited datasets.
Additional Information

Our Publicis Groupe motto "Viva La Difference" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.

All your information will be kept confidential according to EEO guidelines.

#LI-YM1

 Compensation Range: USD $112,290.00 - USD $161,280.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 11/1/2026.Employment Type: FULL_TIME