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At Home Insurance Data Analytics Jobs in Chicago, IL

EPIC Brokers

Lead Insurance Data Scientist

Chicago, IL · On-site

$150/hr

At least 3 years of experience in a data analyst, data science, or comparable analytical role while in an insurance brokerage environment. • Strong organizational skills with the ability to manage ...

Bank of Montreal

Manager, Data & Analytics

Chicago, IL · On-site

$74K - $138K/yr

This role is ideal for someone who thrives at the intersection of data and strategy-someone who is ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

BMO Capital Markets

Manager, Data & Analytics

Chicago, IL · Hybrid

$74K - $138K/yr

This role is ideal for someone who thrives at the intersection of data and strategy-someone who is ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

BMO Financial

Manager, Data & Analytics

Chicago, IL · On-site

$74K - $138K/yr

This role is ideal for someone who thrives at the intersection of data and strategy--someone who is ... 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

About G2 - Our People At G2, everything we are and what we do is grounded in our PEAK values ... About The Role The Product Data Science team is G2's centralized analytics and data science ...

Walgreens

Analyst Data Analytics

Deerfield, IL · On-site

$63K - $101K/yr

Bachelor's Degree OR High School Diploma/GED and at least 3 years of experience in Finance ... Experience with business intelligence tools in support of data analytics (e.g. Business Objects ...

RWE

Data Analytics Lead

Chicago, IL · On-site

Exempt The Senior Manager, Development Data Analytics is a senior-level individual contributor ... at the time of the offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-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

... is contact at or in the interest of the institute. The Manager, Data Analytics will demonstrate Shirley Ryan AbilityLab Core Attributes: Communication, Accountability, Flexibility/Adaptability ...

IQVIA

Data Analytics Analyst II

Chicago, IL · Remote

$56K - $140K/yr

A willingness or ability to travel as needed ( This is a remote / WFH role open to candidates ... Learn more at IQVIA is proud to be an equal opportunity employer. All qualified applicants will ...

IQVIA

Data Analytics Analyst II

Chicago, IL · Remote

$56K - $140K/yr

A willingness or ability to travel as needed ( This is a remote / WFH role open to candidates ... Learn more at IQVIA is proud to be an equal opportunity employer. All qualified applicants will ...

Northern Trust

Data Analytics Engineer

Chicago, IL

$114K - $194K/yr

... insurance, and other voluntary and well-being benefits. Northern Trust also provides a ... at MyHRHelp@ntrs.com, or alternatively you can discuss your individual requirements with the ...

Northern Trust

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

... insurance, and other voluntary and well-being benefits. Northern Trust also provides a ... at MyHRHelp@ntrs.com, or alternatively you can discuss your individual requirements with the ...

Northern Trust

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

... insurance, and other voluntary and well-being benefits. Northern Trust also provides a ... at MyHRHelp@ntrs.com , or alternatively you can discuss your individual requirements with the ...

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All JobsAt Home Insurance Data Analytics JobsAt Home Insurance Data Analytics Jobs in Chicago, IL

At Home Insurance Data Analytics information

See Chicago, IL salary details

$25

$56

$97

How much do at home insurance data analytics jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for at home insurance data analytics 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 is an at home insurance data analytics?

An At Home Insurance Data Analytics job involves working remotely to analyze data related to insurance policies, claims, customer trends, and risk factors. Professionals in this role use statistical methods and specialized software to interpret large datasets and provide insights that help insurance companies make informed business decisions. The tasks may include data cleaning, reporting, predictive modeling, and collaborating with other teams to optimize products or processes. Working from home provides flexibility, but it also requires strong communication skills and self-motivation. This role is essential for helping insurance companies stay competitive and efficient in a data-driven industry.

What types of data sources and tools will I typically work with as an at home insurance data analytics professional?

As an At Home Insurance Data Analytics professional, you'll regularly handle data from policy management systems, claims databases, customer interactions, and external risk assessment sources. You'll use tools like SQL for data extraction, Python or R for analysis, and data visualization platforms such as Tableau or Power BI to present insights. Collaboration with underwriting, claims, and IT teams is common to ensure data accuracy and actionable reporting. This role offers exposure to both structured and unstructured data, requiring a balance of technical skills and insurance industry knowledge.

What are the key skills and qualifications needed to thrive as an at home insurance data analytics professional?

To thrive in At Home Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and experience with insurance data, often supported by a relevant degree. Proficiency with data analysis tools such as SQL, Python, R, and business intelligence platforms like Tableau or Power BI is typically required. Strong problem-solving, attention to detail, and effective communication skills help translate complex data insights for stakeholders. These skills ensure accurate risk assessment, data-driven decision-making, and effective remote collaboration in the insurance industry.

What is the difference between At Home Insurance Data Analytics vs Insurance Data Analyst?

AspectAt Home Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in statistics, data science, or related field; knowledge of insurance industryBachelor's degree in mathematics, statistics, or related field; industry-specific knowledge beneficial
Work EnvironmentRemote or home-based, collaborating with insurance teamsTypically office-based, but may include remote options; working with insurance data teams
Employer & Industry UsageInsurance companies, brokers, and agencies analyzing policy dataInsurance firms, consulting agencies, or analytics firms focusing on insurance data

At Home Insurance Data Analytics involves remote data analysis specifically tailored to insurance data, often with a focus on policy and claims data. Insurance Data Analysts may work in similar environments but are often based in-office and may handle broader data analysis tasks across various industries. Both roles require similar skills and education, but At Home Insurance Data Analytics emphasizes remote work within the insurance sector.

What are the most commonly searched types of Insurance Data Analytics jobs in Chicago, IL? The most popular types of Insurance Data Analytics jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for At Home Insurance Data Analytics jobs? Cities near Chicago, IL with the most At Home Insurance Data Analytics job openings:
At Home Insurance Data Analytics jobs near you

Data Analytics

Kanak Elite Services Inc

West Chicago, IL • On-site

Contractor

Re-posted 27 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