ZipRecruiter

Log In

1

Associate In Insurance Data Analytics Jobs in Elmhurst, IL

The LaSalle Group

Sr Manager, Data & Analytics

Chicago, IL · On-site

$160K - $180K/yr

The ideal candidate combines strong finance knowledge with expertise in data and analytics, excels at leading cross-functional projects, and has the communication skills to influence stakeholders ...

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 ...

Motorola

Marketing Data Analytics Manager

Chicago, IL · On-site

$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 ...

previous pagenext page

Showing results 21-40

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 Aug 4, 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.

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 Elmhurst, IL? For Associate In Insurance Data Analytics jobs in Elmhurst, IL, the most frequently searched job titles are:
What job categories do people searching Associate In Insurance Data Analytics jobs in Elmhurst, IL look for? The top searched job categories for Associate In Insurance Data Analytics jobs in Elmhurst, IL are:
What cities near Elmhurst, IL are hiring for Associate In Insurance Data Analytics jobs? Cities near Elmhurst, 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 Elmhurst, IL as of July 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $75,184 per year, or $36.1 per hour.

Sr Manager, Data & Analytics

The LaSalle Group

Chicago, IL • On-site

$160K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

Senior Finance Manager, Data & Analytics
Location: Flexible / Hybrid
Compensation: $130,000-$180,000 base salary, eligibility to earn discretionary bonus
About the Role
We are seeking a strategic and results-driven Senior Finance Manager, Data & Analytics to lead finance transformation initiatives through data, analytics, automation, and artificial intelligence. This role will serve as a key partner to Finance leadership, driving projects that enhance reporting capabilities, improve decision-making, streamline processes, and enable scalable data solutions across a global organization.
The ideal candidate combines strong finance knowledge with expertise in data and analytics, excels at leading cross-functional projects, and has the communication skills to influence stakeholders across Finance, IT, and the business.
Key Responsibilities
  • Lead and deliver finance data and analytics initiatives from strategy through implementation, ensuring projects are completed on time and aligned with business objectives.
  • Partner with Finance leaders to identify opportunities to improve reporting, analytics, forecasting, and decision support through modern data solutions.
  • Drive process optimization and automation initiatives that improve efficiency, data quality, and standardization across finance functions.
  • Identify and implement AI-enabled solutions that enhance financial processes, reporting, and analytical capabilities.
  • Collaborate with Finance, IT, Data, and external partners to develop scalable reporting and analytics platforms.
  • Translate business requirements into technical solutions while serving as the primary liaison between finance stakeholders and technical teams.
  • Establish governance, documentation, and best practices for finance data, reporting, and analytics.
  • Develop executive dashboards, KPIs, and performance reporting that provide actionable business insights.
  • Lead cross-functional project teams, manage project plans, risks, and stakeholder communications.
  • Champion change management efforts by driving user adoption, training, and continuous improvement.

Qualifications
Required
  • Bachelor's degree in Finance, Accounting, Business Analytics, Information Systems, Data Analytics, or a related field.
  • 7+ years of experience in finance data, analytics, finance transformation, business intelligence, or related functions.
  • Demonstrated experience leading complex, cross-functional projects from planning through execution.
  • Strong understanding of financial reporting, planning, budgeting, forecasting, and financial processes.
  • Experience implementing reporting, analytics, automation, or AI solutions within finance organizations.
  • Exceptional communication and presentation skills with the ability to engage stakeholders at all organizational levels.
  • Proven ability to translate business needs into scalable data and technology solutions.
  • Strong analytical, problem-solving, and organizational skills.

Preferred
  • Experience within a global manufacturing or consumer packaged goods (CPG) organization.
  • Familiarity with ERP platforms such as SAP, Oracle, or similar enterprise systems.
  • Experience with business intelligence and visualization tools such as Power BI, Tableau, or similar platforms.
  • Knowledge of data warehousing, SQL, cloud analytics platforms, or finance data architecture.
  • Experience with AI, machine learning, or generative AI applications in finance.
  • PMP, Agile, Lean Six Sigma, or similar project management certification is a plus.

What You'll Bring
  • A passion for using data and technology to transform finance.
  • Strong leadership and project management capabilities.
  • Excellent relationship-building and stakeholder management skills.
  • A collaborative mindset with the ability to influence without direct authority.
  • Continuous improvement mentality and a focus on delivering measurable business value.

Compensation & Benefits
  • Base salary: $130,000-$180,000, based on experience and qualifications.
  • Eligibility to earn discretionary bonus.
  • Comprehensive health, dental, and vision benefits.
  • Retirement savings program with company match.
  • Paid time off and company holidays.
  • Professional development and career growth opportunities within a global organization.

Join us in shaping the future of finance through data, analytics, and innovation while helping drive smarter business decisions across our global enterprise.
Thank you,
Allee Struve
Recruiting Lead
LaSalle Network
#LI-AS6
LaSalle Network is an Equal Opportunity Employer m/f/d/v.
LaSalle Network is the leading provider of direct hire and temporary staffing services. For over two decades, LaSalle has helped organizations hire faster and connect top talent with opportunities, from entry-level positions to the C-suite. With units specializing in Accounting and Finance, Administrative, Engineering, Marketing, Technology, Supply Chain, Revenue Cycle, Call Center, Human Resources and Executive Search, LaSalle offers staffing and recruiting solutions to companies of all sizes and across all industries.

Apply