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Executive Insurance Data Analytics Jobs in Madison, WI

Rural Mutual Insurance

Data Analyst

Madison, WI · Remote

$115K/yr

Rural Mutual Insurance , one of the top 50 property and casualty companies in the nation, has been ... Develop and maintain data models to support analytics, reporting, and self-service BI * Provide ...

Rural Mutual Insurance

Data Analyst

Madison, WI · Remote

$115K/yr

Rural Mutual Insurance , one of the top 50 property and casualty companies in the nation, has been ... Develop and maintain data models to support analytics, reporting, and self-service BI * Provide ...

Rural Mutual Insurance

Data Analyst

Madison, WI · On-site +1

Description Rural Mutual Insurance , one of the top 50 property and casualty companies in the ... high-impact analytics and reporting solutions to drive sound business decision-making. This ...

Husch Blackwell Llp

Enterprise Data Analyst

Madison, WI · On-site +1

... and enhance analytics * Familiarity and comfort with executive level communication and ... Full-time employees receive benefits including: medical and dental coverage; life insurance; short ...

New

Rural Mutual Insurance

Data Engineer

Madison, WI · On-site

$120K/yr

Rural Mutual Insurance is looking for an experienced and motivated data professional to play a ... Partner with business stakeholders, analysts, and technical teams to translate complex business ...

Rural Mutual Insurance

Data Engineer

Madison, WI

$120K/yr

Rural Mutual Insurance is looking for an experienced and motivated data professional to play a ... Partner with business stakeholders, analysts, and technical teams to translate complex business ...

Shine United

Data Analyst

Madison, WI · On-site

Strong proficiency in web analytics platforms (GA4 required). * Experience with tag management ... Benefits package includes: fully paid health, dental, life and disability insurance (for ...

Shine United

Data Analyst

Madison, WI · On-site

Strong proficiency in web analytics platforms (GA4 required). * Experience with tag management ... Benefits package includes: fully paid health, dental, life and disability insurance (for ...

Shine United

Data Analyst

Madison, WI

Strong proficiency in web analytics platforms (GA4 required). * Experience with tag management ... Benefits package includes: fully paid health, dental, life and disability insurance (for ...

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All JobsInsurance Data Analytics JobsExecutive Insurance Data Analytics JobsExecutive Insurance Data Analytics Jobs in Madison, WI

Executive Insurance Data Analytics information

See Madison, WI salary details

$26.7K

$94.3K

$185.4K

How much do executive insurance data analytics jobs pay per year?

As of Jul 26, 2026, the average yearly pay for executive insurance data analytics in Madison, WI is $94,266.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $121,400.00 per year, depending on experience, location, and employer.

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, assess risks, and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and dashboards that help improve underwriting, pricing, and claims management processes.

How does the Executive Insurance Data Analytics role typically collaborate with other departments to drive business decisions?

In the Executive Insurance Data Analytics role, collaboration with departments such as underwriting, claims, and product development is essential. You will regularly work with cross-functional teams to interpret complex data, identify trends, and provide actionable insights that support strategic business decisions. Clear communication and the ability to translate analytics into business terms are key, as you will often present findings to both technical and non-technical stakeholders. This collaborative approach not only helps improve operational efficiency but also ensures data-driven decision-making across the organization.

What is the highest paying job in data analytics?

In data analytics, executive roles such as Chief Data Officer (CDO) or Vice President of Data typically have the highest salaries, often exceeding six figures annually. These positions require advanced skills in data strategy, leadership, and often certifications in analytics tools or data management platforms.

What are the key skills and qualifications needed to thrive as an Executive Insurance Data Analytics, and why are they important?

To excel as an Executive in Insurance Data Analytics, you need expertise in statistical analysis, data modeling, insurance industry knowledge, and often an advanced degree in data science or actuarial science. Familiarity with analytics platforms like SAS, SQL, Python, and business intelligence tools, as well as certifications such as CPCU or data analytics credentials, are typically required. Strategic thinking, leadership, and strong communication skills help drive insights and influence organizational decision-making. These skills are crucial for transforming complex data into actionable strategies that enhance profitability and manage risk in the insurance sector.

Will AI replace a Data Analyst?

AI is transforming the role of Data Analysts, including those in executive insurance data analytics, by automating routine tasks such as data cleaning and basic reporting. However, Data Analysts are still essential for interpreting complex data, providing strategic insights, and making nuanced decisions that require human judgment and domain expertise. The role is evolving to include skills in machine learning tools and data visualization, but it is unlikely to be fully replaced by AI in the near future.

What is the highest paid position in insurance?

In insurance, executive roles such as Chief Executive Officer (CEO) or Chief Underwriting Officer tend to be the highest paid, often earning six- to seven-figure salaries along with bonuses and stock options. These positions require extensive experience, leadership skills, and industry knowledge, and they oversee company strategy and operations.

What is the difference between Executive Insurance Data Analytics vs Insurance Data Analyst?

AspectExecutive Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or higher in Data Science, Statistics, or related field; experience in insurance analyticsBachelor's in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentStrategic, leadership-focused, often in management teamsOperational, data-focused, often in analytics teams
Employer & Industry UsageInsurance companies, consulting firms, risk management firmsInsurance companies, brokers, third-party analytics providers

Executive Insurance Data Analytics roles focus on strategic decision-making and leadership in insurance data projects, while Insurance Data Analysts handle data collection, analysis, and reporting at operational levels. Both roles require similar educational backgrounds but differ in scope and responsibility.

What is an Executive Insurance Data Analytics professional?

An Executive Insurance Data Analytics professional is a senior leader who oversees the collection, analysis, and interpretation of data to guide decision-making within insurance organizations. They leverage advanced analytics, data science, and business intelligence to identify trends, assess risks, and optimize business strategies. Their role often involves setting data strategy, ensuring data quality, and communicating insights to stakeholders to improve profitability and efficiency. They typically collaborate with IT, actuarial, underwriting, and claims teams to drive data-driven transformation across the company.
Executive Insurance Data Analytics jobs near you
Infographic showing various Executive Insurance Data Analytics job openings in Madison, WI as of July 2026, with employment types broken down into 89% Full Time, 2% Part Time, 5% Contract, and 4% Nights. Highlights an 91% In-person, 4% Hybrid, and 5% Remote job distribution, with an average salary of $94,266 per year, or $45.3 per hour.
FP&A Manager - Data Analytics

FP&A Manager - Data Analytics

Duluth Trading Company

Mount Horeb, WI • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Duluth Trading Company rating

6.4

Company rating: 6.4 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job description

Position Overview
The Financial Planning & Analysis Manager - Data Analytics is a high-impact leadership role designed to modernize the finance function through advanced data architecture and analytical rigor. This position will report to the Sr. Director of FP&A and serves as the primary liaison between finance, the business teams, and IT. You will help oversee the evolution of budgeting and forecasting leveraging data, automation, and predictive modeling to provide leadership with deep, actional insights to support the organization's growth and profitability.
Position Details
Work Environment:
At Duluth Trading Company, we value face-to-face interactions that foster our culture of learning, creativity, and teamwork. The role is based at our headquarters near Madison, WI. You will work in the office Monday through Thursday, with the option to work from home on Fridays if you prefer.
What You'll Do:
  • Data-Driven Forecasting: Lead the integration of large datasets into the annual budgeting and monthly forecasting processes, transitioning from manual inputs to automated, data-driven financial models.
  • Advanced Modeling & Architecture: Develop and maintain sophisticated financial models using SQL, Python, or advanced Excel to simulate various business scenarios and support strategic decision-making.
  • BI Strategy & Visualization: Design, implement, and manage executive-level dashboards (e.g., Power BI) that track Key Performance Indicators (KPIs) and provide real-time visibility into financial performance.
  • Predictive Analytics: Utilize statistical methods to identify trends, risks, and opportunities; move beyond "what happened" to "what will happen" by analyzing customer behavior, price elasticity, and operational data.
  • Process Automation: Champion the "Finance of the Future" by identifying opportunities to automate repetitive reporting tasks and streamline data flows between ERP and planning systems.
  • Master Data Management & Governance: Establish and enforce standards for financial data integrity across the organization, defining data owners, maintaining the "Single Source of Truth" for financial hierarchies, and ensuring that data definitions remain consistent across systems to provide reliable reporting.
  • ERP Transition: Serve as one of the Finance leads for the migration to a new ERP system, including overseeing data mapping and cleansing, validating historical data migration, and designing new reporting workstreams to ensure a seamless transition with loss of analytical visibility.
  • Stakeholder Communication: Execute high-priority ad hoc analyses and translate complex data sets into the "story behind the numbers" for senior leadership, providing clear variance analysis and strategic recommendations.
  • Cross-Functional Leadership: Mentor an analyst(s) in technical skills (data hygiene, query writing) and soft skills (business partnership) to ensure the finance team remains a center of analytical excellence.

What We're Looking For:
  • Bachelor's Degree in Finance, Accounting, Data Science, Business Analytics, or Statistics
    • Equivalent work experience will be considered.
  • Ability to interact with a team in a fast-paced environment, sometimes under pressure, remaining flexible, proactive, resourceful and efficient, with a high level of professionalism and confidentiality.
  • 7+ years of progressive experience in FP&A, Corporate Finance, or Business Intelligence.
  • 1+ years of management experience managing a team and developing talent.
  • Advanced Analytics: Proficiency in SQL and business intelligence tools (e.g., Power BI) is highly preferred
  • Systems Knowledge: Experience with Enterprise Resource Planning (ERP) systems and Planning Software (e.g., Adaptive Insights, Anaplan, Oracle)
  • Financial Expertise: Understanding of financial statements and valuation methodologies (ROI, NPV)
  • Authorization to work in the United States without sponsorship.

Physical Environment & Travel Expectations:
  • Travel is required for less than 10% of company-related meetings, programs, and/or events.
  • Sitting is required for 90% of working hours.
  • Standing is required for 10% of working hours.
  • Continuous arm, hand, and wrist movement (ie: typing)
  • Occasional reaching, twisting, and bending.
  • Noise level no greater than casual conversation.
  • Ability to perform work in cubicle workstations or an office setting.
  • Work in temperatures ranging from 65 - 75 degrees.

Duluth Headquarters Benefits and Perks
Our pursuit of a better way isn't just about our products-it's about our people too. That's why our Dam Good Crew enjoys a comprehensive benefits package, designed to support their well-being and success.
  • Multiple Medical plan options
  • Dental & Vision plans
  • Medical and Dependent Care Flexible Spending Accounts
  • Health Savings Account including company contributions
  • Company paid Life Insurance and AD&D
  • Company paid Short-Term Disability
  • Other various voluntary benefits including: Accident, Critical Illness, Hospital Indemnity, Long-Term Disability and Supplemental Life Insurance
  • 401(k) Employer Match
  • Parental Leave
  • Paid holidays: New Year's Day, Martin Luther King Jr. Day, Memorial Day, Juneteenth, Independence Day, Labor Day, Thanksgiving Day, Christmas Eve, Christmas Day
  • Paid Time Off: take it as you need it policy for exempt employees
  • Daily pay available
  • 40% Employee Discount
  • Flexible Fridays
  • Onsite fitness center

Position Compensation Outline
Compensation Range: $113,000 to $145,000/year
This position is eligible to participate in the company bonus program.
Compensation listed is for the full-time position at this specific location and is based on several factors, including experience, and qualifications. Benefits and perks may have eligibility requirements and are subject to change.
#LIONSITE
The responsibilities outlined in this position description are a guideline for the general duties of the position and are not exhaustive of all duties inherent in the job. Duluth Trading Company is an Equal Opportunity Employer. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential job functions.
About Duluth Trading Company
Started in 1989, Duluth Trading Company exists to enable hard-working individuals to take on life with their own two hands. Folks that revel in doing it the hard way and celebrate finding a better way. We seek talented individuals who share these beliefs and are excited to further the Duluth Trading legacy with a digital-first mindset, always moving forward and always innovating.
From ingenious Duluth workwear, to comfortably capable Buck Naked Underwear, to outside-embracing AKHG, it's all about the innovative gear and gadgets that equip customers for a more hands-on way of life.
Top-notch quality, immersive storytelling, outstanding customer service, and the shared belief that the go-all-in-and-dig-deep spirit exists with everyone are what sets Duluth Trading Co. apart. We seek talented folks looking to be part of a can-do team that's hellbent on helping the world to gear up, get its hands dirty, and do.

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