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Associate In Insurance Data Analytics Jobs in Elmhurst, IL

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 ...

Komatsu

IT Manager, Data & Analytics

Chicago, IL · On-site

The IT Manager, Data & Analytics will be instrumental in leading the execution of business driven ... Life insurance * Employee learning and development programs Diversity & Inclusion Commitment At ...

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

Associate In Insurance Data Analytics information

See Elmhurst, IL salary details

$3.2K

$6.3K

$9K

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 Elmhurst, IL is $6,265.33, according to ZipRecruiter salary data. Most workers in this role earn between $5,683.33 and $6,683.33 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.
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Associate In Insurance Data Analytics jobs near you
Infographic showing various Associate In Insurance Data Analytics job openings in Elmhurst, 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 $75,184 per year, or $36.1 per hour.
Data Associate - Marketing Analytics

Data Associate - Marketing Analytics

NinjaHoldings

Chicago, IL • On-site, Remote

$70K - $100K/yr

Full-time

Posted 8 days ago

Job description

NinjaHoldings was founded in 2017 by a team seeking to revolutionize the way everyday Americans interact with financial services. Through our CreditNinja and NinjaCard brands, we empower people overlooked by traditional financial institutions to take control of their finances via a full suite of digital banking and lending products, providing incentives and rewards along the way as we guide them on a path to financial improvement. Through our NinjaEdge brand, we help companies better understand their customers by offering a package of bespoke underwriting, fraud detection, and analytics services. With offices in Chicago, Miami, and around the world through the power of remote work, we are a lean and innovative team always seeking like-minded talent to join us in our fight to disrupt consumer finance.
Job Summary
NinjaHoldings is seeking a self-directed Data Associate to join our Marketing Analytics team, partnering with Marketing and senior analytics experts. You'll own analytics work end-to-end within your area - building and maintaining the Snowflake/dbt models and Periscope dashboards that power funnel reporting, independently diagnosing drop-off drivers with SQL and Python, and translating your findings into clear, actionable recommendations for leadership. You'll coordinate with cross-functional partners, help level up more junior analysts, and are expected to work fluently and critically alongside modern AI tooling.
Key Responsibilities:
  • Own the monitoring of key funnel metrics through reports and dashboards - tracking channel performance, diagnosing deviations, and driving to root cause with minimal guidance
  • Independently take a defined business problem, analyze it with SQL and Python, quantify drop-off drivers, and deliver a recommendation that accounts for business tradeoffs
  • Build, update, and maintain dbt data models in Snowflake to enhance and streamline marketing reporting, writing reusable, standards-compliant code
  • Build and maintain Periscope dashboards, adding charts and metrics that improve visibility across the marketing funnel
  • Communicate concise, action-oriented recommendations to senior management, tailoring the narrative and visualizations to the audience
  • Partner with Marketing, Risk, and Engineering to coordinate strategy changes, monitor releases, and conduct post-release impact analysis
  • Use AI tools to accelerate analysis and development, while critically verifying their output - catching errors, validating logic, and take ownership of correctness
  • Support the growth of the team through knowledge sharing, code review, and mentoring of junior analysts

Ideal Candidate Will Have:
  • Bachelor's degree required
  • 2+ years of experience with data analytics
  • Advanced working SQL knowledge and experience with relational databases and query authoring, plus working familiarity with a variety of databases
  • Proficiency in using Python
  • Demonstrated ability to work effectively alongside AI/LLM tools using them to move faster while independently verifying and correcting their output
  • Strong quantitative and problem-solving skills with keen attention to detail

Benefits:
  • Competitive salary and benefits package
  • Flexible, remote work
  • Fun, fast-paced work environment
  • Dynamic start-up culture
  • Ability to make an immediate impact in a growth stage company
  • Convenient downtown Chicago office located in the heart of the city
  • Equal opportunity employer

IMPORTANT NOTICE:
Please carefully review communications to ensure that they are from the official Breezy applicant tracking platform (@breezy-mail.com) or an official NinjaHoldings brand email: @ninjaholdings.com, @creditninja.com, @ninjacard.com, or @edgescore.com. If you have been contacted regarding a job opening at NinjaHoldings from any other email address, including similar email variations, this is NOT a trusted source. We recommend that you refrain from responding to suspicious emails and file a complaint with the FBI's Internet Crime Complaint Center (IC3) at https://www.ic3.gov. For questions or to confirm the authenticity of a communication, please email hr @ninjaholdings.com.

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