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Data Analytics Director Jobs in Fort Atkinson, WI

AgSource

Dairy Data Scientist

Watertown, WI

Analyze dairy production, herd health, nutrition, reproduction, sensor, genomic, and operational ... Direct exposure to dairy farm operations and an understanding of how scientific recommendations ...

Urus Group LP

Dairy Data Scientist

Watertown, WI · On-site +1

Analyze dairy production, herd health, nutrition, reproduction, sensor, genomic, and operational ... Direct exposure to dairy farm operations and an understanding of how scientific recommendations ...

Farm Systems

Dairy Data Scientist

Watertown, WI · On-site

Analyze dairy production, herd health, nutrition, reproduction, sensor, genomic, and operational ... Direct exposure to dairy farm operations and an understanding of how scientific recommendations ...

INNIO

Director, Channel Management

Waukesha, WI · On-site

The Director, Channel Management will lead the development and execution of strategic channel sales ... Proficiency in CRM systems (Salesforce preferred) and data analytics tools. * Willingness to travel ...

Texas Hydraulics Inc

Director of Supply Chain

New Berlin, WI · On-site

$180K - $204K/yr

Director of Supply Chain Why Join Oilgear At Oilgear, we design and manufacture high-performance ... Use data analytics to improve visibility, efficiency, and decision-making across the supply chain.

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Showing results 21-40

All JobsData Analytics JobsData Analytics Director JobsData Analytics Director Jobs in Fort Atkinson, WI

Data Analytics Director information

See Fort Atkinson, WI salary details

$64.8K

$144.3K

$223.1K

How much do data analytics director jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data analytics director in Fort Atkinson, WI is $144,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,200.00 and $164,300.00 per year, depending on experience, location, and employer.

What does a Data Analytics Director do?

A Data Analytics Director is responsible for overseeing the data analytics department within an organization. They lead teams that collect, process, and interpret large sets of data to provide actionable insights for business decision-making. This role involves developing data strategies, implementing analytical tools and techniques, and ensuring data quality and security. The Data Analytics Director also collaborates with other departments to align analytics initiatives with organizational goals and drive data-driven growth.

What are the key skills and qualifications needed to thrive as a Data Analytics Director?

To thrive as a Data Analytics Director, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a relevant degree and significant experience in analytics leadership. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, along with knowledge of data governance and cloud technologies, is essential. Exceptional leadership, strategic thinking, and communication skills help drive cross-functional collaboration and translate data insights into business value. These competencies are crucial for guiding analytic strategy, ensuring data-driven decision-making, and maximizing organizational impact.

What are some common challenges faced by a Data Analytics Director when aligning analytics initiatives with business objectives?

A Data Analytics Director often encounters challenges in ensuring that analytics projects are closely aligned with the strategic goals of the organization. This includes bridging communication gaps between technical teams and business stakeholders, prioritizing projects with the highest business impact, and managing expectations regarding what data analytics can deliver. Additionally, it can be challenging to foster a data-driven culture across departments and to secure buy-in for data initiatives. Effective collaboration, clear communication, and a strong understanding of both analytics and business priorities are essential to overcome these hurdles.

What is the difference between Data Analytics Director vs Data Scientist?

AspectData Analytics DirectorData Scientist
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; often requires leadership experienceBachelor's, Master's, or Ph.D. in Data Science, Statistics, or related field; technical expertise in modeling
Work EnvironmentLeadership role overseeing analytics teams, strategic planning, and project managementHands-on data analysis, model development, and algorithm implementation
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon in tech, research, and analytics firms for developing data models and insights

The main difference is that a Data Analytics Director focuses on leading analytics teams and strategic initiatives, while a Data Scientist is primarily involved in technical data modeling and analysis. Both roles require strong analytical skills, but the Director role emphasizes leadership and business strategy.

What cities near Fort Atkinson, WI are hiring for Data Analytics Director jobs?

Cities near Fort Atkinson, WI with the most Data Analytics Director job openings:

Data Analytics Director jobs near you
Infographic showing various Data Analytics Director job openings in Fort Atkinson, WI as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $144,293 per year, or $69.4 per hour.

Dairy Data Scientist

AgSource

Watertown, WI

Full-time

Posted 6 days ago

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.

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.

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