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Executive Insurance Data Analytics Jobs in 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 ...

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

Data Engineer

Madison, WI

$105K - $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 ...

Data Engineer

Madison, WI

$105K - $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 ...

We're looking for an Enterprise Account Executive to join our Enterprise Sales organization ... Passionate / curious about the data & analytics space * Capable of managing large, complex deal ...

Serve as the primary liaison with insurance payers for pay-for-performance and value-based care ... Experience in Quality Management, Health Information Management (HIM), healthcare analytics, or a ...

New

... executives, and scientists. The Opportunity The Commercial Analytics Manager is responsible for providing analytical leadership by integrating execution, sales and marketing data to drive analytics ...

New

... executives, and scientists. The Opportunity The Commercial Analytics Manager is responsible for providing analytical leadership by integrating execution, sales and marketing data to drive analytics ...

New

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Showing results 1-20

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 Aug 28, 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 is an executive insurance data analytics?

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.

How does an executive insurance data analytics 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 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.

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.

Infographic showing various Executive Insurance Data Analytics job openings in Madison, WI as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 89% In-person, 3% Hybrid, and 8% Remote job distribution, with an average salary of $94,266 per year, or $45.3 per hour.

FP&A Manager - Data Analytics

Mount Horeb, WI • On-site, Remote


Duluth Trading Company
Apparel and Accessories Stores • 1 - 5K employees

6.4

Company rating: 6.4 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

People enjoy working here

Recommended by students

Respectful managers


Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Job description

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.


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.


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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