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Associate In Insurance Data Analytics Jobs in Chicago, IL

In this ever-changing market environment, our professionals must be adaptable and thrive in a ... life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your ...

... for purpose Data & Analytics solution in a timely manner, under the direction of a more senior ... vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our ...

... for purpose Data & Analytics solution in a timely manner, under the direction of a more senior ... vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our ...

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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 Aug 6, 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.

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?

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 is an 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 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:
What job categories do people searching Associate In Insurance Data Analytics jobs in Chicago, IL look for? The top searched job categories for Associate In Insurance Data Analytics jobs in Chicago, IL are:
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:

Manager, Oracle Data & Analytics

KPMG

Chicago, IL

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.

KPMG is currently seeking a Manager, Oracle Data & Analytics for our Consulting practice.

Responsibilities:
  • Lead the implementation and configuration of Oracle Fusion Data Intelligence (FDI), Oracle AI Data Platform (AIDP), and Oracle Autonomous Data Lakehouse (ADL) to support our Smart Data Platform offering, following the KPMG approach to meet and exceed client requirements
  • Provide technical expertise and guidance on Oracle FDI, AIDP, and ADL architecture, data modeling, and best practices in support of the KPMG SDP offering.
  • Collaborate with clients to understand their business objectives, data sources, and analytic and AI requirements
  • Design and develop custom data marketplace, data products, and analytics & AI solutions using Oracle tools
  • Develop documentation, training materials, and knowledge transfer sessions for clients and internal teams, while staying updated on the latest Oracle features, enhancements, and industry trends, and collaborating with KPMG functional teams to understand the impacts of business processes
  • Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
  • Minimum five years of recent experience with Fusion Data Intelligence (FDI) across one or more of Finance, Supply Chain, and Human Capital Management subject areas; experience with Oracle AI Data Platform (AIDP), and Oracle Autonomous Data Lakehouse (ADL) is preferred.
  • MBA or MIS from an accredited college or university is preferred. Minimum of a Bachelor's degree is required.
  • Project management skills to address tasks, deliverables, issues, risks and management of onshore analysts and offshore development team; understanding or implementation experience of Oracle SaaS modules and general business processes across either ERP, HCM, or SCM a plus
  • Excellent communication skills to lead and facilitate Analytic requirements and strategy meetings with a proven track record of leading successful Oracle Fusion Data Intelligence implementations from concept to completion; able to work independently and as part of a team in a fast-paced consulting environment
  • Ability to travel as needed
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
KPMG LLP and its affiliates and subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work.

Follow this link to obtain salary ranges by city outside of CA:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M130ADV_3_26

KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.