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Associate In Insurance Data Analytics Jobs in Northbrook, IL

Remote candidates will not be considered. • . 8+ years as a hands-on IT Reporting data analyst. • 4+ years of experience in reporting or data analysis within the Property & Casualty insurance ...

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 ...

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 ...

Analyst Data Analytics

Deerfield, IL · On-site

$63K - $101K/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 ...

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 ...

New

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 ...

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 ...

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 ...

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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 Jun 25, 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.

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.

How much does a data analyst make at World insurance Associates?

A data analyst at World Insurance Associates typically earns between $55,000 and $75,000 annually, depending on experience and location. The role often requires proficiency in data analysis tools like Excel, SQL, or Tableau and may involve working with insurance data 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.

Is AI replacing data analysts?

For an Associate in Insurance Data Analytics, AI tools are increasingly used to automate routine data processing and analysis tasks, enhancing efficiency. However, AI does not replace the need for skilled analysts who interpret insights, make strategic decisions, and ensure data quality, making human expertise essential in the role.

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 interpret data, create reports, and support decision-making processes. These roles often involve using tools like Excel, SQL, or data visualization software and may require understanding insurance industry data and analytics techniques.

What does a data analyst do at an insurance company?

A data analyst in an insurance company collects, processes, and analyzes data related to policies, claims, and customer behavior 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 processes.
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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Reporting Data Analyst

Reporting Data Analyst

E-Solutions

Chicago, IL • On-site

Other

Posted 7 days ago


Job description

Reporting Data Analyst
Onsite Location
Alpharetta, GA; Charlotte, NC; Chicago, IL; Conshohocken, PA; Dallas, TX; Denver, CO; Fargo, ND; Garden City, NY; Houston, TX; Lenexa, KS; Lubbock, TX; Morristown, NJ; Mt Juliet, TN; New York, NY; Purchase, NY; Topeka, KS
Hybrid schedule of at least three in-office days per week, Candidates that are not local must relocate within a few weeks of onboarding. Remote candidates will not be considered.
• . 8+ years as a hands-on IT Reporting data analyst.
• 4+ years of experience in reporting or data analysis within the Property & Casualty insurance industry; reinsurance experience is preferred but not required.
• 3+ years hands-on experience with Strategy (formerly MicroStrategy), Microsoft Power BI or similar product.
• Working knowledge of insurance source systems such as Guidewire (Policy, Billing, Claims), Genius, and SAP.
• Strong SQL skills and experience querying enterprise data warehouses.
ROLE SUMMARY
The Reporting Data Analyst partners with business groups across the Property & Casualty (P&C) insurance domain to define and deliver reporting and data extracts requirements. This role serves as a subject matter expert (SME) on enterprise data warehouse content and key source systems, ensuring accurate interpretation of insurance data, consistent definitions, and reliable reporting outputs.
ROLE RESPONSIBILITIES
• Act as a data and domain SME for P&C insurance subject areas (e.g., policy, claims, financials).
• Collaborate with business stakeholders to gather, clarify, and validate reporting and extract requirements.
• Translate insurance business concepts into accurate data logic, metrics, and dimensional definitions.
• Leverage knowledge of source applications (e.g., Guidewire, Genius, SAP) to ensure correct data interpretation and lineage.
• Ensure reports and extracts align with approved business definitions, regulatory needs, and data governance standards.
• Create and validate SQL queries, views, or semantic-layer objects against the enterprise data warehouse.
• Review and certify reports for accuracy, reconciliation, and consistency across systems.
• Document data definitions, business rules, and reporting assumptions.
• Support UAT and investigate data discrepancies between source systems and the data warehouse.
• Educate business users on proper interpretation and usage of insurance data.
TECHNICAL QUALIFICATIONS
• 8+ years as a hands-on IT Reporting data analyst.
• 4+ years of experience in reporting or data analysis within the Property & Casualty insurance industry; reinsurance experience is preferred but not required.
• 3+ years hands-on experience with Strategy (formerly MicroStrategy), Microsoft Power BI or similar product.
• Working knowledge of insurance source systems such as Guidewire (Policy, Billing, Claims), Genius, and SAP.
• Strong SQL skills and experience querying enterprise data warehouses.
• Understanding of dimensional modelling and enterprise reporting concepts.
GENERAL QUALIFICATIONS
• Strong initiative; able to self-manage. Comfortable with ambiguity and able to work through it to get the right things done.
• Excellent Communication skills, both written and verbal, understanding communication channels and escalation paths.
• Proven experience working directly with senior business stakeholders