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Computer Science Economics Jobs in Wisconsin (NOW HIRING)

Kohler Co.

Marketing Analyst, Hospitality

Kohler, WI · On-site

Required : • 4-6 years of experience in marketing analytics, business intelligence, or a similar data-centric role. • BS/BA in Marketing, Statistics, Economics, Computer Science, or a related ...

MBR Partners

WI

... economic indicators, and competitors. * Monitoring prices, competition, and supply and demand ... Bachelor's or master's degree in computer science or related field Eligibility Requirements

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All JobsComputer Science Economics JobsComputer Science Economics Jobs in Wisconsin

Computer Science Economics information

See Wisconsin salary details

$11.1K

$98.9K

$162K

How much do computer science economics jobs pay per year?

As of Jul 13, 2026, the average yearly pay for computer science economics in Wisconsin is $98,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $22,200.00 and $161,500.00 per year, depending on experience, location, and employer.

What are the typical responsibilities and daily activities for professionals in a Computer Science Economics role?

Professionals in Computer Science Economics roles blend data analysis, economic modeling, and software development to provide insights that guide business strategies and policy decisions. On a typical day, you might analyze large datasets, build predictive economic models, collaborate with data engineers or economists, and present findings to stakeholders. Many roles are highly collaborative, often involving teamwork with both technical and non-technical colleagues to solve complex, real-world business or economic problems. The work environment can range from consulting firms to financial institutions or tech companies, offering a dynamic and intellectually stimulating setting with opportunities for continued learning and career growth.

Is computer science dead due to AI?

Computer science remains a vital field for roles such as software developers, data scientists, and AI specialists. AI advances create new opportunities for innovation, requiring skills in programming, algorithms, and machine learning tools, ensuring continued demand for computer science expertise.

What is a Computer Science Economics job?

A Computer Science Economics job combines computing, data analysis, and economic principles to solve complex business and financial problems. Professionals in this field work with algorithms, machine learning, and economic models to analyze trends, optimize decision-making, and improve efficiency. They may work in industries like finance, tech, or policy analysis, using data-driven methods to drive insights and innovation.

What are the key skills and qualifications needed to thrive in the Computer Science Economics position, and why are they important?

To excel in a Computer Science Economics role, candidates typically need a strong background in both computer science fundamentals (such as programming, algorithms, and data structures) and economic theory, often evidenced by degrees in these or related fields. Familiarity with analytical tools like Python, R, SQL, and statistical modeling software, as well as experience with data visualization platforms, are commonly required. Strong communication, critical thinking, and problem-solving abilities enable effective collaboration across multidisciplinary teams. These skills and qualifications are crucial for leveraging computational techniques to analyze complex economic data and deliver actionable insights in technology-driven industries.

What can you do with a computer science and economics degree?

A computer science and economics degree prepares individuals for roles such as data analyst, financial analyst, software developer, or economic consultant. Graduates can work in finance, technology, consulting, or research, often utilizing skills in programming, data analysis, and economic modeling.

What are 5 careers in economics?

Careers in economics include roles such as economic analyst, financial analyst, policy advisor, data scientist, and research economist. These positions often require strong analytical skills, proficiency with statistical tools, and a solid understanding of economic theories and models.

Is computer science useful for economics?

Computer science is highly useful for economics, as it provides tools for data analysis, modeling, and simulation that enhance economic research and decision-making. Skills in programming, algorithms, and data management are valuable for economists working with large datasets and complex models.
What are popular job titles related to Computer Science Economics jobs in Wisconsin? For Computer Science Economics jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Computer Science Economics jobs in Wisconsin look for? The top searched job categories for Computer Science Economics jobs in Wisconsin are:
Computer Science Economics jobs near you
Infographic showing various Computer Science Economics job openings in Wisconsin as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $98,916 per year, or $47.6 per hour.
Senior Marketing Business Intelligence Analyst (Remote)

Senior Marketing Business Intelligence Analyst (Remote)

KOHLS

Menomonee Falls, WI • On-site

Other

Posted yesterday

Kohl's rating

5.7

Company rating: 5.7 out of 10

Based on 1,452 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores

Job description

About the Role

In this role, you will leverage data to drive strategic decision-making by designing, developing and optimizing scalable BI solutions. You will work closely with cross-functional teams to transform complex datasets into actionable insights, build robust data models and dashboards and enhance data-driven decision-making across the organization.

What You’ll Do

  • Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting

  • Leverage SQL to retrieve, transform and prepare data for robust analyses

  • Present findings to executive-level digital, marketing and merchandising leadership

  • Develop best practices for BI and Self Service

  • Directly query data in the Google Cloud Platform across different environments to prepare data for analytics

  • Institute an environment of ongoing learning and sharing of skills and knowledge to the broader analytics pyramid

  • Be a steward of customer, marketing and digital data and collaborate with IT and business stakeholders on projects related to using data and analytics

  • Additional tasks may be assigned

What Skills You Have

Required

  • 5+ years of experience, preferably working within a digital, IT, marketing, e-commerce or other applicable field or analytics organization

  • Advanced proficiency in SQL

  • Expertise in Qlik, Tableau, PowerBI or Looker Studio

  • Experience in Adobe Clickstream, Adobe Analytics

  • Experience working directly with business stakeholders to translate between data and business needs

  • Highly effective at communicating analysis and data visualizations with a non-technical audience

  • Proven ability to independently determine approaches to efficiently completing projects and managing processes

  • Knowledge of statistical analysis methods

  • Conceptual understanding of Data Mining and Machine Learning methodologies for analytical application

Preferred

  • Degree in Mathematics or Statistics, Economics, Computer Science, Predictive Analytics or similar

  • Experience with an object-oriented programming language (R, Python etc.)

  • Ability to write functions and end-to-end programs

  • Experience with Data Mining and Machine Learning methodologies

  • Experience with Google BigQuery

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