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Associate In Insurance Data Analytics Jobs in Chicago, IL

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 ...

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 ...

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 ...

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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Associate In Insurance Data Analytics information

See Chicago, IL salary details

$3.3K

$6.5K

$9.3K

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 Chicago, IL is $6,480.25, according to ZipRecruiter salary data. Most workers in this role earn between $5,883.33 and $6,908.33 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 Chicago, IL? For Associate In Insurance Data Analytics jobs in Chicago, IL, the most frequently searched job titles are:
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What cities near Chicago, IL are hiring for Associate In Insurance Data Analytics jobs? Cities near Chicago, IL with the most Associate In Insurance Data Analytics job openings:
Sr Director Data & Analytics

Sr Director Data & Analytics

Medline

Northfield, IL

$177K - $266K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 22 days ago


Medline Industries rating

7.6

Company rating: 7.6 out of 10

Based on 247 frontline employees who took The Breakroom Quiz

229th of 528 rated manufacturers


Job description

Job Summary

Lead enterprise data and analytics teams in this pivotal role driving data-driven decision-making and ensuring the integrity, accessibility, and strategic use of data assets. Responsible for developing and implementing strategy and processes, assessing technology needs, and ensuring data quality and governance across multiple business areas.
Responsible for developing and implementing strategy and processes, assessing technology needs, and ensuring data quality and data governance across multiple areas.

Job Description

Job Responsibilities:

Enterprise Data & Analytics Leadership

  • Develop and execute comprehensive data and analytics strategies to support business objectives, leveraging advanced analytics, machine learning, and data-driven insights to optimize organizational performance.

  • Oversee teams that monitor and analyze key business metrics, recommend performance improvements through analysis of operational data, customer experience, and business processes.

  • Ensure our data environment and data architecture strategy is optimized for Finance.

Master Data Management and Taxonomy

  • Ensure close connections with Medline's MDM leadership to inform key strategic priorities

  • Maintain short- and long-term strategies to handle data that balance speed and discipline

  • Develop and maintain comprehensive data taxonomies to enhance data organization and retrieval, ensuring alignment with business needs..

Data Governance and Compliance

  • Ensure adherence for the Finance data and Analytics team to data governance policies and procedures.

  • Recommend, champion, and partner with Data Governance leadership to develop policies and processes to enforce data governance, ensuring the quality, integrity, and security of organizational data.

  • Partner with data governance stakeholders to define standards and best practices for data management, documentation, and compliance throughout the organization.

Cross Functional Collaboration

  • Collaborate with cross-functional teams to define and enforce data standards and develop and track key performance indicators (KPIs), understand relevant goals, and measurement solutions.

  • Partner with IT and business leaders to evaluate and implement tools and technologies, and develop a technology roadmap to enhance data capabilities, including best practices around analytics, central data, and taxonomy.

  • Foster a company-wide culture of data ownership and recognition that data and information are core assets, promoting data-driven decision-making across the organization.

Management responsibilities

  • Manage through multiple managers and provide leadership to one or more major departments or functions.

  • Lead strategic, tactical, and operational planning (12+ months) for the function or department.

  • Direct budgetary responsibility for one or more departments, functions, or major projects/programs.

  • Interpret and execute policies for departments/projects; develop, recommend, and implement new policies or modifications to existing policies.

  • Oversee hiring, performance reviews, training and development, and resource planning for staff.

Minimum Job Qualifications:

Education

  • Bachelor's degree in Data Science, Computer Science, Finance, Statistics, Math, Business, Marketing or a related field.

Work Experience

  • At least 8 years of experience in data analytics, data management, or a related field.

  • At least 5 years of proven experience leading and managing data teams.

Knowledge / Skills / Abilities

  • Proven track record of delivering actionable insights and optimizing data processes.

  • Strong knowledge of Finance and Business analytics.

  • Expertise in data governance, master data management, and taxonomy.

  • Proficiency in data visualization tools (e.g., Tableau, Power BI) and analytics platforms (e.g., Microsoft Fabric, Google Analytics, Adobe Analytics).

  • Strong problem-solving and analytical abilities.

  • Experience influencing business managers to drive strategic and tactical decision making to improve performance.

  • Ability to partner with and influence a wide-range of cross-functional work teams and leaders.

  • Experience visualizing data and communicating analytics to a wide audience.

  • Experience applying project management best practices, business process re-design principles, tools and techniques.

Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.

The anticipated salary range for this position:

$177,000.00 - $266,000.00 Annual

The actual salary will vary based on applicant's location, education, experience, skills, and abilities. This role is bonus and/or incentive eligible. Medline will not pay less than the applicable minimum wage or salary threshold.

Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For roles where employees work less than 30 hours per week, benefits include 401(k) contributions, paid time off, as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp. For a more comprehensive list of our benefits please click here.

We're dedicated to creating a Medline where everyone feels they belong and can grow their career. We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best. Explore our Belonging pagehere.

Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.


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About Medline

Sourced by ZipRecruiter

Medline Industries, LP is the leading nationwide supplier of medical, surgical and pharmaceutical products to hospitals, nursing homes, HME providers, surgery centers, physician offices and home care/hospice settings.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Winnetka, IL, US

Year founded

1966