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Associate In Insurance Data Analytics Jobs in Deerfield, IL

EPIC Brokers

Lead Insurance Data Scientist

Chicago, IL · On-site

$150/hr

In this role, you will help shape client-facing and operational analytics that drive smarter ... data from a variety of insurance-related sources. • Perform exploratory data analysis to identify ...

BMO Financial

Manager, Data & Analytics

Chicago, IL · On-site

$74K - $138K/yr

Data Analytics & Reporting This is a hybrid role requiring 3-4 days in the Chicago or San Fran ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

Bank of Montreal

Manager, Data & Analytics

Chicago, IL · On-site

$74K - $138K/yr

Data Analytics & Reporting This is a hybrid role requiring 3-4 days in the Chicago or San Fran ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

G2.com, Inc

Data Analytics Specialist

Chicago, IL · On-site

$130K - $150K/yr

In this role, you'll partner closely with product stakeholders to develop data-driven strategies ... Lead exploratory and ad-hoc analyses for product and leadership partners, synthesizing complex data ...

RWE

Data Analytics Lead

Chicago, IL · On-site

Minimum 10 years of experience in data analytics, business intelligence, or strategy, with ... Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term ...

Halo Group

Data Analytics Architect

Deerfield, IL

Collaborate with other peers in the team at the design, "hands-on" implementation and maintenance of a broad range of Big data solutions. Work under the direction of the Manager of Data Analytics to ...

Sralab

Manager, Data Analytics

Chicago, IL · On-site

You'll play a role in something that's never been done before as we integrate science and clinical ... Summary The Manager, Data Analytics will provide data analytics services to help solve business ...

McDonald's - Corporate

Manager, Data Analytics

Chicago, IL · On-site

$127K - $159K/yr

Company Description: McDonald's is proud to be one of the most recognized brands in the world, with ... life insurance. Bonus eligible: This position is eligible for a bonus, calculated based on ...

CMI Media Group

Manager, Data Analytics

Chicago, IL · On-site

$70K - $140K/yr

Manager, Data Analytics - Drive Innovation in Healthcare Marketing Do you thrive on turning data into actionable insights that drive real-world impact? Are you passionate about the healthcare ...

IQVIA

Data Analytics Analyst II

Chicago, IL · Remote

$56K - $140K/yr

IQVIA possesses the largest and most comprehensive set of healthcare data assets in the world ... analytics needs of the clients for both scheduled and ad hoc requests * Creating reports ...

Northern Trust

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

About Northern Trust As a global leader in innovative wealth management, asset servicing, asset ... insurance, and other voluntary and well-being benefits. Northern Trust also provides a ...

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All JobsAssociate In Insurance Data Analytics JobsAssociate In Insurance Data Analytics Jobs in Deerfield, IL

Associate In Insurance Data Analytics information

See Deerfield, IL salary details

$3.3K

$6.4K

$9.2K

How much do associate in insurance data analytics jobs pay per month?

As of Aug 4, 2026, the average monthly pay for associate in insurance data analytics in Deerfield, IL is $6,397.17, according to ZipRecruiter salary data. Most workers in this role earn between $5,808.33 and $6,825.00 per month, depending on experience, location, and employer.

What are some common challenges faced by an associate in insurance data analytics, and how can they be addressed?

Associates in Insurance Data Analytics often encounter challenges such as working with large, complex datasets and ensuring data accuracy for reliable analysis. Additionally, interpreting data in the context of insurance policies and risk models requires both technical and industry-specific knowledge. Collaborating closely with underwriters, actuaries, and claims teams can help bridge knowledge gaps and enhance data-driven decision-making. Staying up-to-date with analytical tools and best practices can also help overcome these challenges and support career growth.

What is the difference between Associate In Insurance Data Analytics vs Insurance Data Analyst?

AspectAssociate In Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; certifications like CAP or CPCU beneficialBachelor's degree in data analysis, statistics, or related field; certifications like CAP or CPCU beneficial
Work EnvironmentEntry-level role in insurance companies or consulting firms, focusing on data collection and basic analysisMid-level role in insurance companies, analyzing data to support underwriting, claims, and risk assessment
Employer & Industry UsageCommonly used in insurance firms, agencies, and consulting firms for data support rolesUsed within insurance companies for data-driven decision making and reporting

The Associate In Insurance Data Analytics and Insurance Data Analyst roles share similar educational backgrounds and industry usage. However, the Associate role is typically entry-level, focusing on data collection and basic analysis, while the Insurance Data Analyst often has more experience and handles more complex data analysis tasks to support business decisions.

What are the key skills and qualifications needed to thrive as an associate in insurance data analytics?

To thrive as an Associate in Insurance Data Analytics, you need strong analytical skills, proficiency in statistics, and a background in insurance or finance, often supported by a relevant degree. Familiarity with data analysis tools like SQL, Python, R, and insurance-specific platforms or certifications such as the CPCU or AIDA is highly valued. Attention to detail, problem-solving abilities, and effective communication are critical soft skills for interpreting data and conveying insights to stakeholders. These skills are essential for transforming complex insurance data into actionable strategies that drive business decisions and risk management.

What is an associate in insurance data analytics?

An Associate in Insurance Data Analytics is a professional who specializes in analyzing data within the insurance industry to help companies make informed decisions. They use statistical methods, data modeling, and business intelligence tools to derive insights about risk, customer behavior, and market trends. This role often requires knowledge of insurance processes, as well as technical skills in data analysis and interpretation. They play a key part in helping insurers optimize underwriting, pricing, claims, and customer experience.
What are popular job titles related to Associate In Insurance Data Analytics jobs in Deerfield, IL? For Associate In Insurance Data Analytics jobs in Deerfield, IL, the most frequently searched job titles are:
What job categories do people searching Associate In Insurance Data Analytics jobs in Deerfield, IL look for? The top searched job categories for Associate In Insurance Data Analytics jobs in Deerfield, IL are:
What cities near Deerfield, IL are hiring for Associate In Insurance Data Analytics jobs? Cities near Deerfield, IL with the most Associate In Insurance Data Analytics job openings:
Associate In Insurance Data Analytics jobs near you
Infographic showing various Associate In Insurance Data Analytics job openings in Deerfield, IL as of July 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $76,766 per year, or $36.9 per hour.

Data Analytics

Kanak Elite Services Inc

West Chicago, IL • On-site

Contractor

Re-posted 25 days ago

Job description

Hello There,

Wish you a Happy Wednesday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email yashmita@kanakits.com with your updated resume.  

JOB TITLE: ANALYST – LOYALTY & MARKETING DATA ANALYTICS
ASSIGNMENT LENGTH: 1 YEAR (WITH STRONG POSSIBILITY OF EXTENSION)
LOCATION: CHICAGO, IL – CAN BE REMOTE BUT HAS TO COME ONSITE WHEN THE TEAM IS ASKED TO COME ONSITE.

About the Team

Our Marketing and Loyalty team is the strategic force behind United’s industry-leading brand and customer experience. We drive revenue growth by turning customers into lifelong United flyers through personalized marketing, data-driven insights, and seamless digital engagement. The Digital Marketing Operations group supports the end-to-end delivery of campaigns and analytics that fuel this mission.

Role Overview

We are seeking a Data Analyst to join the Marketing Campaign Operations team. This role will focus on collecting, analyzing, and interpreting marketing data to deliver insights that enhance campaign performance and operational efficiency. You will work cross-functionally with marketing, data, and technical teams, supporting audience targeting, automation, and reporting.

Key Responsibilities

  • Analyze marketing and loyalty data to identify patterns, trends, and optimization opportunities
  • Build and automate dashboards, reports, and visualizations to communicate insights effectively
  • Develop and manage data extensions and audience segments within Salesforce Marketing Cloud (SFMC) using SQL
  • Support the development of marketing data pipelines and automated workflows in PySpark and Databricks
  • Maintain data standards and ensure data integrity across multiple platforms
  • Partner with cross-functional teams to improve campaign execution, reporting, and decision-making

Required Qualifications

  • 3–5 years of experience in data analysis, ideally within marketing or business analytics
  • Strong proficiency in SQL and PySpark
  • Hands-on experience with Amazon Redshift and Databricks
  • Working knowledge of Salesforce Marketing Cloud (SFMC), including audience segmentation and data extension management
  • Excellent analytical, problem-solving, and communication skills
  • Ability to translate technical insights into actionable business recommendations