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Data Analytics Graduate Jobs in Chicago, IL (NOW HIRING)

Data Science Tutor

Skokie, IL ยท Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Data Science Tutor

Naperville, IL ยท Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Data Science Tutor

Chicago, IL ยท Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Showing results 41-60

Data Analytics Graduate information

See Chicago, IL salary details

$25

$56

$97

How much do data analytics graduate jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data analytics graduate in Chicago, IL is $56.40, according to ZipRecruiter salary data. Most workers in this role earn between $45.34 and $63.89 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the data analytics graduate position, and why are they important?

To thrive as a Data Analytics Graduate, you need a solid understanding of statistics, data modeling, and analytical techniques, usually supported by a relevant degree in mathematics, statistics, computer science, or a related field. Familiarity with tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is highly valued, and certifications in these can provide an added advantage. Strong problem-solving abilities, attention to detail, and effective communication skills help you distill complex data sets into actionable insights and present findings to diverse stakeholders. These skills are essential for delivering data-driven solutions that support business decisions and foster organizational growth.

What are typical career paths or growth opportunities for a data analytics graduate?

As a Data Analytics Graduate, you often start by supporting more senior analysts with data preparation, exploratory analysis, and report generation. Over time, you can advance to positions such as Data Analyst, Business Intelligence Analyst, or Data Scientist, depending on your interests and ongoing skill development. Many organizations encourage further training and offer mentorship to help you specialize in areas like machine learning, data engineering, or domain-focused analytics. With experience and demonstrated impact, leadership roles such as Analytics Manager or Team Lead become attainable, providing broader responsibilities and strategic input into organizational decision-making.

What is a data analytics graduate?

A Data Analytics Graduate job is an entry-level role designed for recent graduates with a background in data science, statistics, or related fields. It typically involves collecting, cleaning, analyzing, and visualizing data to help organizations make data-driven decisions. Graduates in this role may work with tools like SQL, Python, Excel, and data visualization software to interpret trends and patterns. They often collaborate with different departments to provide insights that optimize business processes. This role serves as a foundation for more advanced positions in data analytics or data science.

What are the most commonly searched types of Data Analytics Graduate jobs in Chicago, IL? The most popular types of Data Analytics Graduate jobs in Chicago, IL are:
What job categories do people searching Data Analytics Graduate jobs in Chicago, IL look for? The top searched job categories for Data Analytics Graduate jobs in Chicago, IL are:
Infographic showing various Data Analytics Graduate job openings in Chicago, IL as of August 2026, with employment types broken down into 6% Internship, 75% Full Time, 13% Part Time, and 6% Nights. Highlights an 100% In-person job distribution, with an average salary of $117,306 per year, or $56.4 per hour.

Senior Insurance Data Scientist

Independence Pet Group

Chicago, IL โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Established in 2021, Independence Pet Holdings is a corporate holding company that manages a diverse and broad portfolio of modern pet health brands and services, including insurance, pet education, lost recovery services, and more throughout North America.

We believe pet insurance is more than a financial product and build solutions to simplify the pet parenting journey and help improve the well-being of pets. As a leading authority in the pet category, we operate with a full stack of resources, capital, and services to support pet parents. Our multi-brand and omni-channel approach include our own insurance carrier, insurance brands and partner brands. 

Independence American Insurance Companyโ€ฏ(IAIC),โ€ฏa subsidiary of IPH, hasโ€ฏoverโ€ฏ50 years of underwriting experience and a history of innovation in the pet insurance industry. IAICโ€ฏhas built a reputation as a trusted and dependable partner.โ€ฏWe are a pet-focused underwriter with deep insurance industry experience, offering a product with proven consumer appeal.โ€ฏ 

Job Location: Remote (U.S.) Teams with hubs in: Chicago, IL | New York, NY | Scottsdale, AZ | Cleveland, OH

Job Summary

We are seeking a Lead Data Scientist with hands-on experience in P&C or Pet Insurance pricing to join our growing R&D team. This is a senior individual contributor role responsible for leading pricing model development, driving analytical best practices, and serving as a subject matter expert in insurance pricing.

You will own projects endโ€‘toโ€‘end โ€” from scoping to delivery โ€” and balance a portfolio of 2โ€“4 concurrent initiatives across pricing, research, and model enhancement. This role requires someone who can independently run a project to ground, ask the right questions when roadblocks arise, and communicate complex modeling work to both technical and nonโ€‘technical audiences.

You will partner closely with actuarial, product, engineering, and business stakeholders while helping shape the analytical culture of the team.

What Youโ€™ll Do

Pricing & Modeling Leadership

  • Develop, refine, and maintain GLMโ€‘based pricing models and related regression approaches used for rate setting, segmentation, and performance forecasting.
  • Apply machine learning techniques where appropriate to enhance predictive accuracy and customer behavior insights.
  • Serve as a technical lead on pricing initiatives, ensuring methodological rigor and regulatory awareness.

Endโ€‘toโ€‘End Project Ownership

  • Take a scoped project and drive it independently to completion, escalating questions or blockers appropriately.
  • Manage a rotating portfolio of 2โ€“4 active projects, including pricing model builds, research initiatives, and support for regulatory filings.

Data Exploration & Analytical Insight

  • Conduct exploratory data analysis to understand relationships across pricing, conversion, retention, and risk segmentation.
  • Perform advanced rootโ€‘cause analysis using SQL and statistical techniques to investigate data issues and collaborate with engineering to resolve them.
  • Translate complex analytical findings into clear, actionable insights for leadership across varying technical backgrounds.

Communication & Influence

  • Present modeling results, assumptions, and recommendations to senior leadership in a way that is accessible and compelling.
  • Become an SME in a key area of insurance pricing, providing guidance to peers, leaders, and crossโ€‘functional partners.

Team Leadership & Mentorship

  • Mentor junior team members and contribute to elevating data science best practices across the organization.
  • Demonstrate flexibility in leading or following depending on project needs, contributing to a collaborative and highโ€‘trust team environment.

Required Qualifications

  • Graduate degree in Statistics, Mathematics, Data Science, Actuarial Science, or related quantitative field and 2+ years of experience in a data science or analytical role OR 4+ years of progressive experience in data science or analytics.
  • At least 1 year of experience in P&C or Pet Insurance pricing (rate modeling, GLMs, segmentation, or related actuarial/data science work).
  • Strong proficiency in Python and SQL for data manipulation, modeling, and analysis.
  • Deep understanding of GLMs, regression modeling, and statistical inference.
  • Demonstrated ability to communicate complex technical concepts to both technical and nonโ€‘technical audiences.
  • Ability to manage multiple priorities in a fastโ€‘paced environment with a small, highโ€‘impact team.
  • Strong problemโ€‘solving skills, critical thinking, and attention to detail.

Preferred Qualifications

  • Experience with Snowflake, Databricks, or SQL Server.
  • Familiarity with data warehousing concepts.
  • Hands-on experience with WTW Radar, Emblem, or Earnix.
  • Experience building dashboards in Power BI or similar tools.

Who Thrives Here

This role is ideal for someone who:

  • Enjoys owning complex analytical work from start to finish.
  • Can balance multiple projects without losing quality or momentum.
  • Communicates with clarity, confidence, and humility.
  • Wants to grow into a pricing SME and influence decisions across the business.
  • Values both leading and following depending on what the project requires

#LI #carrier

All of our jobs come with great benefits including healthcare, parental leave and opportunities for career advancements. Some offerings are dependent upon the location of where you work and can include the following:

  • Comprehensive full medical, dental and vision Insurance

  • Basic Life Insurance at no cost to the employee

  • Company paid short-term and long-term disability

  • 12 weeks of 100% paid Parental Leave

  • Health Savings Account (HSA)

  • Flexible Spending Accounts (FSA)

  • Retirement savings plan

  • Personal Paid Time Off

  • Paid holidays and company-wide Wellness Day off

  • Paid time off to volunteer at nonprofit organizations

  • Pet friendly office environment

  • Commuter Benefits

  • Group Pet Insurance

  • On the job training and skills development

  • Employee Assistance Program (EAP)

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