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Associate In Insurance Data Analytics Jobs in Elmhurst, IL

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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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Associate In Insurance Data Analytics information

See Elmhurst, IL salary details

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

As of Jul 15, 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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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 Analytics Resource Planning - Associate

Data Analytics Resource Planning - Associate

JP Morgan Chase

Chicago, IL

Full-time

Medical, Retirement

Posted 26 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks


Job description

The Commercial and Investment Bank Finance & Business Management Resource Planning team is looking for a strategic, analytical, and energetic professional to support the Wholesale Lending Services organization. On this team, you will partner with the business to help achieve their goals.

As a Resource Planning Associate on the Commercial and Investment Bank team, you will have the opportunity to work closely with senior Operations leaders and key partners across Commercial and Investment Bank Finance, Business Management and Data & Analytics teams. You will play a crucial role in enabling effective end-to-end execution, providing visibility into major initiatives, business metrics, financials, and data insights to senior management. This role offers the chance to leverage your analytical skills and strategic thinking in a high-impact leadership position.

Job responsibilities

  • Partner with Wholesale Lending Service and Commercial and Investment Bank Finance & Business Management team to budget and forecast headcount and direct expenses
  • Participate in the activity based costing process used to allocate expenses across various lines of business and downstream client profitability system
  • Partner with Finance to build out loan origination forecasting models, and transfer those results into actionable volume forecasts
  • Assist with build out and enhancement of capacity models across functions and activities
  • Assume responsibility capacity plan deliverables for an organization, partnering with business leaders and finance to model the impact of various business drivers to that organization's staffing needs
  • Analyze large amounts of data to create impactful analysis to assist in developing strategy
  • Participate in the budget and planning process, including supporting analytics and forecasting by conducting monthly capacity plan calls with senior business leaders, participating in hiring decisions and operational planning

Required qualifications, capabilities and skills

  • Bachelor's degree 
  • 4+ years of relevant experience
  • Strong presentation skills and ability to tell the story on initiatives
  • Ability to work collaboratively; develop strong partnership with multiple levels of employees through strong oral and written communication skills
  • Ability to handle multiple priorities and produce successful results in a fast paced environment
  • Ability to interpret and present complex data with strong Excel skills

Preferred qualifications, capabilities and skills 

  • 3+ years of financial services experience
  • Hands-on experience in the use of data to solve complex business problems, leveraging toolsets such as: Qlik Sense, Tableau, SQL, Alteryx, Python 
  • Statistics/KPI experience  

**To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).**

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

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