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Statistical Analyst Jobs in Wisconsin (NOW HIRING)

The Senior Analyst, Analytics and Platform is responsible for analyzing manufacturing data to ... Experience with statistical modeling, machine learning frameworks (e.g., scikit-learn, TensorFlow ...

This individual will analyze structured and unstructured data using statistical analysis, predictive modeling, and data mining techniques to develop actionable insights and recommendations. Working ...

Senior Pricing Analyst

Milwaukee, WI · On-site

$85K - $117K/yr

The Senior Pricing Analyst develops pricing models, researches ratemaking practices, and translates ... Use statistical modeling to evaluate the impact of current and future pricing scenarios.

Senior Pricing Analyst

Milwaukee, WI · On-site

$85K - $117K/yr

The Senior Pricing Analyst develops pricing models, researches ratemaking practices, and translates ... Use statistical modeling to evaluate the impact of current and future pricing scenarios.

Provide quantitative and qualitative data analysis to identify patterns, trends, insights, and ... Bachelor's degree in Computer Science, Management Information Systems, Mathematics, Statistics ...

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Analyze rate adequacy, profitability, and product performance using actuarial and statistical techniques. * Conduct pricing, reserving, and forecasting analyses. * Develop, maintain, and validate ...

Conducts data profiling of source data, including descriptive statistics, to identify data quality ... Determines appropriate analysis techniques and methods to provide data products that address the ...

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Conducts data profiling of source data, including descriptive statistics, to identify data quality ... Determines appropriate analysis techniques and methods to provide data products that address the ...

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Performing process capability studies, statistical analysis and data-driven decision-making to achieve operational excellence and meet production targets. * Ensuring compliance with safety ...

Showing results 41-60

Statistical Analyst information

See Wisconsin salary details

$30.3K

$71.1K

$118.6K

How much do statistical analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for statistical analyst in Wisconsin is $71,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $81,800.00 per year, depending on experience, location, and employer.

What is a statistical analyst?

A statistical analyst reviews data and uses models to develop practical solutions to problems. As a statistical analyst, your primary duties involve planning analyses, reviewing collected data, designing statistical models, using statistical analysis software programs, and reporting your findings to your superiors. This job requires a bachelor’s degree in mathematics, computer science, or a related field. Additional qualifications include work experience in an office environment, familiarity with relevant industry computer software, and strong creative thinking abilities. You also need excellent analytical, mathematical, and research skills. You can find statistical analyst positions in a wide variety of industries.

What does a statistical analyst do?

A Statistical Analyst is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use statistical methods and software to identify trends, patterns, and relationships within large datasets. Their work supports areas such as business strategy, scientific research, healthcare, and government policy. Statistical Analysts often present their findings through reports, visualizations, and presentations to stakeholders. Their insights are crucial for evidence-based planning and problem-solving.

What are the key skills and qualifications needed to thrive as a statistical analyst, and why are they important?

To thrive as a Statistical Analyst, you need a strong background in statistics, mathematics, and data analysis, usually supported by a relevant degree such as statistics, mathematics, or economics. Proficiency with statistical software such as R, SAS, SPSS, or Python, as well as experience with data visualization tools, is typically required. Attention to detail, problem-solving skills, and the ability to communicate complex findings clearly are valuable soft skills in this role. These capabilities are crucial for transforming data into actionable insights that support informed decision-making in organizations.

What are some common challenges statistical analysts face when interpreting large datasets, and how can they overcome them?

Statistical Analysts often encounter challenges such as dealing with missing or inconsistent data, managing data from multiple sources, and ensuring that their analyses are not biased by outliers or erroneous entries. To overcome these issues, analysts use data cleaning techniques, robust validation processes, and statistical methods to account for anomalies. Collaborating closely with data engineers and subject matter experts also helps ensure that the data is accurate and relevant, leading to more reliable insights.

What is the difference between Statistical Analyst vs Data Scientist?

AspectStatistical AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related fieldBachelor's or higher in computer science, statistics, or related field; often includes advanced degrees
Work EnvironmentCorporate, finance, healthcare, or government settings focusing on data analysisTech companies, research, and industries requiring complex data modeling
Employer & Industry UsageCommon in finance, healthcare, and marketing sectorsPrevalent in technology, e-commerce, and research sectors

While both roles analyze data, Statistical Analysts primarily focus on interpreting data using statistical methods, often with less emphasis on programming. Data Scientists typically handle larger datasets, develop predictive models, and utilize advanced programming skills. The roles overlap in data analysis but differ in complexity and scope.

Do statistical analysts make a lot of money?

Statistical analysts typically earn competitive salaries that vary by experience, education, and industry. According to industry data, the median annual wage for statistical analysts is above the national average, with higher earnings possible for those with advanced skills in data analysis tools like R or Python and relevant certifications. Salary potential increases with experience and specialization in fields such as finance, healthcare, or technology.

What are the most commonly searched types of Statistical Analyst jobs in Wisconsin?

The most popular types of Statistical Analyst jobs in Wisconsin are:

What are popular job titles related to Statistical Analyst jobs in Wisconsin?

For Statistical Analyst jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Statistical Analyst jobs in Wisconsin look for?

The top searched job categories for Statistical Analyst jobs in Wisconsin are:

What cities in Wisconsin are hiring for Statistical Analyst jobs?

Cities in Wisconsin with the most Statistical Analyst job openings:

What are popular job titles related to Statistical Analyst jobs in WI?

For Statistical Analyst jobs in WI, the most frequently searched job titles are:

Infographic showing various Statistical Analyst job openings in Wisconsin as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $71,109 per year, or $34.2 per hour.

Jr. Data Analyst

Continuus Technologies LLC

Germantown, WI • On-site

Full-time

Re-posted 13 days ago


Job description

Role SummaryThe Junior Data Analyst supports data collection, analysis, and reporting efforts to help teams make informed business decisions. This role focuses on transforming raw data into clear insights through dashboards, reports, and basic analytical models, while developing strong data and business acumen.Key ResponsibilitiesCollect, clean, and validate data from multiple sourcesCreate and maintain reports, dashboards, and visualizationsAnalyze trends, patterns, and performance metricsSupport ad hoc data requests from cross-functional teamsAssist in documenting data definitions, processes, and standardsCollaborate with senior analysts and stakeholders to understand business needsIdentify data quality issues and escalate inconsistenciesLearn and apply best practices in data analysis and governanceRequired Skills & QualificationsBachelor's degree in Data Analytics, Statistics, Business, Economics, or related field (or equivalent experience)Basic proficiency in Excel or Google SheetsWorking knowledge of SQL and/or data querying toolsFamiliarity with data visualization tools (Power BI, Tableau, Looker, or similar)Strong attention to detail and analytical thinkingAbility to communicate findings clearly to non-technical audiencesPreferred SkillsExposure to Python or RUnderstanding of basic statistics and KPIsExperience working with large datasets or HR/Finance/Operations dataCuriosity and willingness to learn new tools and methodologies