1

Data Visualization Manager Jobs in Beaver Dam, WI

Partner with veterinarians, nutritionists, farm managers, researchers, data scientists, and ... Experience with Power BI, Tableau, or other visualization tools. * Peer-reviewed publications ...

Partner with veterinarians, nutritionists, farm managers, researchers, data scientists, and ... Experience with Power BI, Tableau, or other visualization tools. * Peer-reviewed publications ...

Partner with veterinarians, nutritionists, farm managers, researchers, data scientists, and ... Experience with Power BI, Tableau, or other visualization tools. * Peer-reviewed publications ...

Partner with veterinarians, nutritionists, farm managers, researchers, data scientists, and ... Experience with Power BI, Tableau, or other visualization tools. * Peer-reviewed publications ...

Partner with veterinarians, nutritionists, farm managers, researchers, data scientists, and ... Experience with Power BI, Tableau, or other visualization tools. * Peer-reviewed publications ...

Strong background in database management practices and an understanding of relational data ... Experience designing and developing data visualization results as part of information dashboards ...

Beef Geneticist

De Forest, WI · On-site +1

$75K - $104K/yr

This position combines quantitative genetics, genomic prediction, data management, and advanced ... Experience with data visualization and reporting tools. * Experience leveraging artificial ...

Data Visualization Manager information

See Beaver Dam, WI salary details

$53.2K

$107.8K

$159K

How much do data visualization manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data visualization manager in Beaver Dam, WI is $107,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,600.00 and $121,100.00 per year, depending on experience, location, and employer.

What does a data visualization manager do?

A Data Visualization Manager leads teams in designing and implementing visual representations of data to help organizations make informed decisions. They collaborate with data analysts, business stakeholders, and IT professionals to translate complex data sets into clear, actionable insights through dashboards, charts, and interactive reports. Their role also involves ensuring data accuracy, selecting appropriate visualization tools, and maintaining best practices in data storytelling. Additionally, they often provide guidance and training to team members on effective visualization techniques.

What are the key skills and qualifications needed to thrive as a data visualization manager, and why are they important?

To thrive as a Data Visualization Manager, you need a strong foundation in data analysis, visualization techniques, and statistical knowledge, typically supported by a degree in data science, computer science, or a related field. Expertise in tools such as Tableau, Power BI, and programming languages like Python or R, as well as familiarity with data management systems, is highly valued. Exceptional communication, leadership, and problem-solving skills help bridge the gap between technical teams and business stakeholders. These abilities are crucial for transforming complex data into actionable insights that drive strategic decision-making.

What are some common challenges data visualization managers face when leading cross-functional projects?

Data Visualization Managers often navigate the challenge of aligning diverse teams, such as data analysts, designers, and business stakeholders, to ensure visualizations meet technical accuracy and business needs. Balancing the complexity of large datasets with the need for clear, actionable visuals can be demanding, especially when stakeholders have varying levels of data literacy. Effective communication, prioritizing user experience, and iterative feedback are crucial for overcoming these hurdles and delivering impactful visual solutions.

What is the difference between Data Visualization Manager vs Data Analyst?

AspectData Visualization ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; experience in data visualization toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis and visualization tools
Work EnvironmentLeads visualization teams, collaborates with stakeholders, manages projectsAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed across tech, finance, marketing, and consulting firmsCommon in finance, healthcare, marketing, and research organizations

The Data Visualization Manager focuses on leading teams and overseeing visualization projects, while the Data Analyst primarily analyzes data and creates visual reports. Both roles require strong skills in data tools, but the manager role emphasizes leadership and project management, whereas the analyst role centers on data interpretation and reporting.

What are the most commonly searched types of Data Visualization jobs in Beaver Dam, WI?

The most popular types of Data Visualization jobs in Beaver Dam, WI are:

What job categories do people searching Data Visualization Manager jobs in Beaver Dam, WI look for?

The top searched job categories for Data Visualization Manager jobs in Beaver Dam, WI are:

What cities near Beaver Dam, WI are hiring for Data Visualization Manager jobs?

Cities near Beaver Dam, WI with the most Data Visualization Manager job openings:

Infographic showing various Data Visualization Manager job openings in Beaver Dam, WI as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $107,769 per year, or $51.8 per hour.

Dairy Data Scientist

Urus Group LP

Watertown, WI • On-site, Remote

Full-time

Posted 9 days ago


Key responsibilities

  • Analyze dairy production, herd health, nutrition, reproduction, sensor, genomic, and operational data.

  • Apply statistical analysis and predictive modeling to identify trends, risks, and opportunities related to herd performance.

  • Help develop dashboards, reports, decision-support tools, and automated analytics.


Job description


Are you passionate about dairy science and interested in using data to improve herd performance, animal health, and farm decision-making?
VAS, a URUS Group company, is looking for a Dairy Data Scientist who brings strong knowledge of dairy production and the ability to apply statistics, analytics, and programming to real-world dairy challenges.
This role sits at the intersection of dairy science, research, analytics, and technology. You'll work with veterinarians, nutritionists, dairy scientists, farm operators, data engineers, and software teams to analyze biological, production, sensor, and operational data and turn it into meaningful insights for the dairy industry.
What You'll Do
  • Analyze dairy production, herd health, nutrition, reproduction, sensor, genomic, and operational data.
  • Apply statistical analysis and predictive modeling to identify trends, risks, and opportunities related to herd performance.
  • Support dairy research initiatives, field trials, experimental design, data analysis, and technical reporting.
  • Use tools such as Python, R, SQL, Databricks, or similar analytics platforms to explore and analyze complex datasets.
  • Help develop dashboards, reports, decision-support tools, and automated analytics.
  • Evaluate precision dairy technologies, herd-management systems, automated milking systems, IoT devices, and other emerging technologies.
  • Partner with veterinarians, nutritionists, farm managers, researchers, data scientists, and engineers.
  • Translate scientific findings and analytical results into practical recommendations for dairy operations and business teams.

What We're Looking For
  • Bachelor's degree in Dairy Science, Animal Science, Agricultural Science, Statistics, Data Science, Veterinary Science, Biology, or a related field.
  • Meaningful academic, research, or professional experience related to dairy cattle, dairy production, herd health, nutrition, reproduction, milk production, or animal science.
  • Experience using data and statistics to answer scientific or operational questions.
  • Some hands-on programming or analytics experience with tools such as Python, R, SQL, SAS, or similar technologies.
  • Knowledge of statistical analysis, experimental design, or predictive modeling.
  • Ability to communicate scientific and analytical findings to both technical and non-technical audiences.
  • Curiosity and willingness to learn new data platforms and technologies.

Even Better If You Bring
  • Master's or PhD with research focused on dairy production, animal science, nutrition, reproduction, genetics, or animal health.
  • Experience working with dairy herd-management, DHIA, sensor, genomic, or precision dairy data.
  • Experience with Databricks, PySpark, Delta Lake, or cloud-based analytics platforms.
  • Experience with machine learning or predictive modeling.
  • Experience with Power BI, Tableau, or other visualization tools.
  • Peer-reviewed publications, conference presentations, or technical research reports.
  • Direct exposure to dairy farm operations and an understanding of how scientific recommendations translate into day-to-day farm decisions.

Why This Role
This is an opportunity to combine dairy science with modern analytics and help solve meaningful problems affecting herd health, production efficiency, sustainability, and farm profitability.
You don't need to arrive as an expert in every technology we use. If you bring strong dairy knowledge, scientific curiosity, quantitative skills, and some coding experience, we want to hear from you.
About Us
For the past 40 years we've woken up each day to support those that never stop feeding the world - and we have no plans to quit. We set the standard for farm management solutions and fix our eyes on raising the bar to meet the next generation of expectations.
Our software and information solutions help collect and connect a farm's data - from herd management to feed performance, tracking and more. These insights are a source of truth, empowering producers and their trusted advisors to make profit-driven and sustainable management decisions.
Whether near or far, large or small, VAS is at the heart of your dairy.
VAS has deep roots in the industry through its origin within the URUS family of companies. As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS. Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.