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Associate In Insurance Data Analytics Jobs in Illinois

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 ...

Walgreens

Analyst Data Analytics

Deerfield, IL · On-site

$63.10K - $101.20K/yr

Assists in the development and implementation of innovative analytical and/or statistical ... Synthesizes externally syndicated data with internal experience. * Prepares standard and ad hoc ...

Clarus

Data Analytics Manager

Chicago, IL · On-site +1

Established in 2021, Independence Pet Holdings is a corporate holding company that manages a ... We believe pet insurance is more than a financial product and build solutions to simplify the pet ...

Halo Group

Data Analytics Architect

Deerfield, IL · On-site

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 ...

AIG

Data Analytics, Manager, P&C Insurance

Chicago, IL · On-site

$120K - $150K/yr

In addition, this role will have Global Data Warehouse Product Ownership responsibilities ensuring ... analytics, or datadriven roles, preferably within Commercial / P&C Insurance; Master's degree ...

Cna

Data Analytics Consultant

Chicago, IL · Hybrid

$54K - $103K/yr

In this role, you will partner across key business functions to deliver insights driven by Risk ... Solid knowledge of core functions of an insurance company, general insurance and statistical ...

Guidehouse

Data & Analytics Consultant

Chicago, IL · On-site

$89K - $148K/yr

Minimum TWO (2) years of experience in data analysis, business intelligence or a related analytical ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

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Associate In Insurance Data Analytics information

What are the key skills and qualifications needed to thrive as an Associate in Insurance Data Analytics, and why are they important?

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 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 are 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 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 popular job titles related to Associate In Insurance Data Analytics jobs in Illinois? For Associate In Insurance Data Analytics jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Associate In Insurance Data Analytics jobs in Illinois look for? The top searched job categories for Associate In Insurance Data Analytics jobs in Illinois are:
What cities in Illinois are hiring for Associate In Insurance Data Analytics jobs? Cities in Illinois with the most Associate In Insurance Data Analytics job openings:
Associate In Insurance Data Analytics jobs near you

Data Analytics

Kanak Elite Services Inc

West Chicago, IL • On-site

Contractor

Posted 20 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