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Associate In Insurance Data Analytics Jobs in West Chicago, IL

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 ...

Motorola

Marketing Data Analytics Manager

Chicago, IL

$120K - $135K/yr

In this role, you will bridge the gap between technical data infrastructure and marketing strategy ... Analytics Strategy & Leadership: * Drive the MI Empowerment Vision by owning full end-to-end ...

Steame LLC

Data Analytics Engineer - Chicago

Chicago, IL · On-site

$120K - $130K/yr

Our roots in NowPow-a nationally recognized social care referral platform that connected 13 million ... The Role As a Data Analytics Engineer at STEAMe, you will sit at the intersection of analytics ...

World Insurance Associates LLC

Data Analyst

Chicago, IL · On-site +1

$95K - $110K/yr

... years of experience in a data analytics role, ideally within financial services or wealth ... Perks & Benefits • 401(k) with Employer Match • Health Insurance (with HSA option) • Dental ...

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All JobsAssociate In Insurance Data Analytics JobsAssociate In Insurance Data Analytics Jobs in West Chicago, IL

Associate In Insurance Data Analytics information

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

As of Jul 14, 2026, the average monthly pay for associate in insurance data analytics in West Chicago, IL is $6,425.42, according to ZipRecruiter salary data. Most workers in this role earn between $5,833.33 and $6,850.00 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.

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 job categories do people searching Associate In Insurance Data Analytics jobs in West Chicago, IL look for? The top searched job categories for Associate In Insurance Data Analytics jobs in West Chicago, IL are:
What cities near West Chicago, IL are hiring for Associate In Insurance Data Analytics jobs? Cities near West Chicago, 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 West Chicago, 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 $77,105 per year, or $37.1 per hour.
Sr. Manager- Data Analytics

Sr. Manager- Data Analytics

Excel Talent Solutions

Chicago, IL • On-site

Full-time

Posted 25 days ago

Job description

19th June, 2026
Sr Manager, Data Analytics & Solutions- Chicago (North - Hybrid, 3x week)
Overview
Our client has their global headquarters in the Chicago area and is a global consumer packaged goods organization that produces household staples that have been trusted for generations. As a result of their continued growth and expansion of their IT team, they established a need to bring a Sr Manager of Data Analytics and Solutions to drive a top corporate initiative to leverage AI/ML capabilities to improve accessibility of data inventory for analytics.
The keys to this role include:
  • Deep understanding and capability of optimizing the AI/ML capabilities of SAP as well as data architecture
  • Strong business acumen and can partner with functional leaders in supply chain, finance, sales, procurement, and manufacturing.
  • Previous experience working in a CPG manufacturing environment.

Their Spec:
This is a high-impact role focused on leading the development of data products that unlock insights and empower decision-making across various functions such as Supply Chain, Manufacturing, Finance, Sales, Trade and Procurement. We're seeking a techno-functional leader who is passionate about innovation and committed to delivering impactful solutions to our internal customers. You will also be supported by a Data & Analytics Shared Services Center of Excellence (COE) for advanced data modeling and visualization. The ideal candidate brings deep experience with analytics best practices from mature data environments and thrives in agile, fast-evolving settings-skilled in both strategic leadership and hands-on execution
  • Manage the end-to-end lifecycle of data products, including stakeholder engagement, design, deployment, and sunsetting of legacy solutions.
  • Deliver impactful data solutions that support strategic decisions across various functions within our organization.
  • Act as a trusted advisor, bridging the gap between business needs and technical execution within cross-functional teams.
  • Promote data literacy by training functional partners and enabling self-service analytics adoption.
  • Influence enterprise data management and architecture by identifying capabilities that drive business value.
  • Lead the design, development, and ongoing management of data and decision-support products-such as dashboards, reports, and analytical queries.
  • Serve as the main liaison for business stakeholders in these areas, ensuring their needs are translated into scalable data solutions.

What they are seeking:
  • BA/BS degree in information technology, Computer Science, Data Science, or a related field for data and analytics along with 7+ years of professional experience in Data & Analytics roles, with a strong record of delivering impactful data solutions
  • AI/ML Operationalization: Skilled in deploying and scaling AI/ML models beyond experimentation to deliver business impact in production environments.
  • Proven expertise in designing and deploying end-to-end data products across Supply Chain, Manufacturing, Finance, Sales, Trade and Procurement domains, preferably within the Consumer-Packaged Goods (CPG) industry
  • Minimum 5 years of experience working with SAP data products (e.g., BW, HANA, Datasphere, Databricks, ECC, S/4HANA), with deep understanding of SAP data architecture in CPG company
  • Hands-on experience with visualization and reporting tools such as SAP Analytics Cloud, Power BI, Business Objects, and Analysis for Office
  • Effectively bridges technical and commercial teams by simplifying complex data into clear, actionable insights aligned with strategic goals.

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