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Associate In Insurance Data Analytics Jobs in Northbrook, IL

Honeycomb Insurance

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

Experience in insurance, fintech, or financial services. * Experience supporting data-driven processes in Finance, FP&A, Accounting, or similar business functions. * Familiarity with financial ...

Hylant

Lead Data & Analytics Architect

Chicago, IL · On-site

Translate business and analytical requirements into scalable, secure, and feasible data ... A multi-year recipient of Best Places to Work in Insurance, Hylant is a full-service insurance ...

Salesforce, Inc.

Data Analytics Senior Analyst

Chicago, IL · On-site

$88K - $111K/yr

Ready to level-up your career at the company leading workforce transformation in the agentic era ... insurance, 401(k), and an employee stock purchasing program. More details about company benefits ...

ARDAGH GROUP

Sr Manager, Data & Analytics

Chicago, IL · On-site

In this role, you will develop and execute a comprehensive data and analytics strategy, lead data ... Life insurance * 401(k) retirement plan with company match * Paid holidays and vacation * Short ...

Ardagh Group

Sr Manager, Data & Analytics

Chicago, IL · On-site

In this role, you will develop and execute a comprehensive data and analytics strategy, lead data ... Life insurance * 401(k) retirement plan with company match * Paid holidays and vacation * Short ...

Harvey

People Data Analytics Lead

Chicago, IL · On-site

$180K - $250K/yr

With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support ... Role Overview You'll be Harvey's founding People Data Analytics Lead - the technical leader for our ...

ARDAGH GROUP

Sr Manager, Data & Analytics

Chicago, IL · On-site

In this role, you will develop and execute a comprehensive data and analytics strategy, lead data ... Life insurance * 401(k) retirement plan with company match * Paid holidays and vacation * Short ...

Salesforce, Inc.

Data Analytics Senior Analyst

Chicago, IL

$88K - $111K/yr

Ready to level-up your career at the company leading workforce transformation in the agentic era ... insurance, 401(k), and an employee stock purchasing program. More details about company benefits ...

Medline

Sr Director Data & Analytics

Northfield, IL · On-site

$177K - $266K/yr

Job Summary Lead enterprise data and analytics teams in this pivotal role driving data-driven ... Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time ...

Medline

Sr Director Data & Analytics

Northfield, IL

$177K - $266K/yr

Job Summary Lead enterprise data and analytics teams in this pivotal role driving data-driven ... Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time ...

Medline

Sr Director Data & Analytics

Northfield, IL

$177K - $266K/yr

Job Summary Lead enterprise data and analytics teams in this pivotal role driving data-driven ... Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time ...

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

Associate In Insurance Data Analytics information

See Northbrook, IL salary details

$3.3K

$6.4K

$9.1K

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

As of Jul 16, 2026, the average monthly pay for associate in insurance data analytics in Northbrook, IL is $6,384.92, according to ZipRecruiter salary data. Most workers in this role earn between $5,791.67 and $6,808.33 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.

Is 40 too late for data science?

For an Associate in Insurance Data Analytics, age is not a barrier to entering data science. Many professionals successfully transition into data analytics roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience and continuous learning are valued more than age in this field.

How much does an insurance analyst make?

An insurance analyst typically earns between $55,000 and $85,000 annually, depending on experience, location, and the complexity of data analysis tasks. Entry-level roles may start lower, while experienced analysts with advanced skills in data tools like SQL or Python can earn higher salaries.

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, 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 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 can you do with an associate's in data analytics?

An associate's in data analytics prepares individuals for roles such as data analyst or insurance data analyst, where they analyze data sets to identify trends and support decision-making. These roles often involve using tools like Excel, SQL, or data visualization software and may require understanding insurance industry data and basic statistical skills.

What does a data analyst do in insurance?

A data analyst in insurance collects, processes, and analyzes data related to policies, claims, and customer information to identify trends and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and improve risk assessment, pricing, and fraud detection.
What are popular job titles related to Associate In Insurance Data Analytics jobs in Northbrook, IL? For Associate In Insurance Data Analytics jobs in Northbrook, IL, the most frequently searched job titles are:
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Associate In Insurance Data Analytics jobs near you
Infographic showing various Associate In Insurance Data Analytics job openings in Northbrook, IL as of July 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $76,619 per year, or $36.8 per hour.
Data Analyst

Data Analyst

Honeycomb Insurance

Chicago, IL • On-site

$120K - $170K/yr

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

About Us
Honeycomb Insurance is a modern, data-driven insurance company building smarter ways to underwrite and manage risk.

About the Role
We are looking for a Financial & Data Analyst to join our Finance organization and help us build a scalable, accurate, and automated data foundation. This role bridges Finance, Accounting, and Engineering, ensuring that the data powering our financial models, carrier reporting, billing systems, and management reporting is clean, reliable, and engineered for growth.
If you enjoy owning data pipelines end-to-end, solving messy data problems, and enabling business teams to move beyond spreadsheets, this is an opportunity to make a major impact.

Location: Chicago or New York

Reporting to: Chief Financial Officer 

What You'll Do
Data Engineering & Pipeline Development

  • Partner with finance and operations teams to understand their data needs and translate them into reliable data models.
  • Partner with Engineering to validate, QA, and reconcile data from policy admin systems, billing systems, and operational databases.
  • Build and maintain automated pipelines supporting Finance and Accounting (SQL, Python, dbt, or similar tools).
  • Develop data models that make financial and operational data reliable, accessible, and well-structured.

Fronting Carrier & Regulatory Reporting

  • Own the data preparation for monthly reports to insurance partners. 
  • Ensure data completeness, accuracy, and alignment across sources (policy, claims, billing, accounting).

Billing System Data Preparation & Cleansing

  • Support a billing system migration/implementation by cleaning, reconciling, and validating large datasets. 
  • Work closely with Engineering and Finance to align data with billing schemas and business rules.

Analytics Support for FP&A and Accounting

  • Create data assets enabling self-service dashboards and analytical tools.
  • Monitor the data and ensure strong data integrity.
  • Investigate data anomalies and help Finance understand operational drivers behind performance metrics. 

What You Bring
Required

  • 3+ years of experience as a Data Engineer, Analytics Engineer, BI Engineer, or similar role.
  • Strong SQL and Python skills and experience working with relational databases.
  • Experience with a cloud data warehouse - BigQuery preferred
  • Experience building ETL/ELT pipelines (e.g., dbt, Airflow, Fivetran, custom pipelines).
  • Comfort working with messy data, performing cleansing, reconciliation, and QA.
  • Analytical mindset with strong attention to detail
  • Ability to communicate findings clearly to non-technical stakeholders. 

Nice to Have

  • Experience in insurance, fintech, or financial services.
  • Experience supporting data-driven processes in Finance, FP&A, Accounting, or similar business functions.
  • Familiarity with financial systems such as ERPs or billing systems.
  • Experience with BI tools like Looker, Power BI and Tableau.
  • Experience leveraging AI to generate SQL and Python scripts. 

Who You Are

  • You're a builder who enjoys creating structure in ambiguity.
  • You're the type who spots data issues before anyone else does - then digs until you find the root cause.
  • You love empowering non-technical teams with accurate, reliable data.
  • You thrive in cross-functional work between Finance, Accounting, and Engineering.
  • This role is open to candidates based in New York or Chicago, IL

Benefits

  • Salary: $120,000-$170,000
  • ISO stock options
  • Medical, dental, and vision coverage for you and your dependents
  • HSA with company contributions
  • 401(k) with employer match
  • Flexible time off 
  • 10 company-paid holidays
  • Paid family leave
 

Apply