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Insurance Data Analytics Jobs in Wisconsin (NOW HIRING)

Business Data Analyst

Milwaukee, WI · On-site

$55K - $120K/yr

IAT Insurance Group has an immediate opening for a Business Analyst from our Milwaukee, Wisconsin ... Partner with developers and data engineers to ensure delivered solutions meet documented ...

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 Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

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Insurance Data Analytics information

What are the key skills and qualifications needed to thrive in the Insurance Data Analytics position, and why are they important?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in Insurance Data Analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

What is an Insurance Data Analytics job?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the most commonly searched types of Insurance Data Analytics jobs in Wisconsin? The most popular types of Insurance Data Analytics jobs in Wisconsin are:
What are popular job titles related to Insurance Data Analytics jobs in Wisconsin? For Insurance Data Analytics jobs in Wisconsin, the most frequently searched job titles are:
Senior Operational Excellence Data Analyst

Senior Operational Excellence Data Analyst

Schreiber Foods

Green Bay, WI • On-site

$83K - $105K/yr

Full-time

Posted 20 days ago


Schreiber Foods rating

8.2

Company rating: 8.2 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

61st of 395 rated food and drinks producers


Job description

Job Summary:
Schreiber Foods is seeking a Senior Operational Excellence Data Analyst who will be responsible for achieving operational and functional targets through independent ownership of moderately complex projects. This role involves collaborating with various teams to enhance operational performance and implementing improvements to processes and systems.
Responsibilities:
• Develop and Sustain SFI Data & Operational Excellence Culture Support, coach, and reinforce data-driven decision making and Operational Excellence principles with partners and Team Members.
• Operational Data Enablement & Business Partnership Serve as the bridge between Operations and Schreiber’s technical data teams to translate complex data into actionable insights.
• Partner closely with operations, manufacturing engineering, process engineering, sourcing, packaging engineering, and FP&A to enable plant teams to identify and act on opportunities related to quality, delivery, capacity, and cost.
• Production Data Needs & Use-Case Definition Understand, define, and prioritize the data needs of production teams to support effective business decisions.
• Apply structured improvement methodologies (e.g., Lean Six Sigma) to support cost, quality, and operational performance initiatives through disciplined data use.
• Data Structure Development, Collection, and Preparation Develop, standardize, and maintain data structures and data pipelines that enable reliable data collection from multiple sources.
• Ensure data accuracy, completeness, and consistency to support trusted analytics and KPI reporting.
• Data Exploration, Analysis, and Model Development Apply analytical and statistical methods to explore data, identify trends, and uncover root causes.
• Where appropriate, develop and maintain models to forecast performance and support proactive, data-based decision making.
• Data Visualization, KPI Standards, and Reporting Establish standards and develop clear, intuitive data visualizations using tools such as Power BI.
• Translate insights into visual formats that are easily understood and actionable, including leadership dashboards and plant-floor visualizations (e.g., HMI screens), to drive alignment and execution.
• Training, Enablement, and Capability Building Provide targeted training, standards, and enablement that build Operations’ capability to independently access, analyze, and visualize data.
• Empower partners to adopt best practices in data analytics and visualization to sustain results beyond direct support.
• Cross-Functional Collaboration & Continuous Improvement Leadership Actively collaborate across functions to promote best practices in data access, analytics, and KPI visualization.
• Champion continuous improvement through effective use of data, analytics, and insight-driven problem resolution.
• May be required to perform other job-related tasks.
Qualifications:
Required:
• Bachelor’s degree in Engineering, Data Analytics, Operations or related technical field.
• 7+ years experience in manufacturing/operations, engineering, technical or related area in building and interpreting operational metrics, dashboards, and analysis.
• Proficiency in Excel, SQL, Power BI, and/or Tableau
• Knowledge/proficiency of statistical programming languages like Phyton or commitment to develop proficiency within 12-24 months is expected.
• Data collection, cleaning and governance practices
• Lean and Six Sigma disciplines where applicable
• Problem-solving skills and ability to translate data into action.
• Ownership, self-started mindset; servant mindset
• Desire to grow and take on new challenges and opportunities.
• Travel varies depending on manufacturing needs. Ability to travel 20% - 40% as required.
• Valid driver's license, auto insurance (at least state minimum- more might be required), acceptable driving record per Schreiber Foods discretion, and vehicle that will ensure applicant can meet the travel necessities of the position are required.
• Authorization to work in the country in which the role is based.
Company:
Schreiber provides dairy favorites to people around the globe. Founded in 1945, the company is headquartered in Green Bay, USA, with a team of 10001+ employees. The company is currently Late Stage.

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