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Associate Degree In Data Analytics Jobs in Wisconsin

Continuus Technologies LLC

Senior Data Analyst

Germantown, WI · On-site

$87K - $110K/yr

... degree in Data Analytics, Statistics, Economics, Business, or related field (or equivalent experience)5+ years of experience in analytics or data-focused rolesAdvanced SQL and strong proficiency in ...

RTX

WI · On-site

Advanced degree and 5+ years of experience in IT Infrastructure , Data Science/Analytics, or ... OR Associate's degree and 10+ years of relevant industry experience; OR High School diploma or ...

Gritter Francona

WI · On-site

$78K - $99K/yr

Bachelor's degree (BA/BS) in Data Analytics, Computer Science, Information Systems, Mathematics, Statistics, Business, or related field. * 8 years of professional experiencein data analytics ...

Jockey

Associate Analytics Engineer

Kenosha, WI · On-site

Jockey is seeking an Associate Analytics Engineer to join our Enterprise Analytics Team! The ... Bachelor's degree in Data Analytics, Business Administration, Supply Chain, Economics, Finance ...

Tri City National Bank

Senior Data Analyst

Oak Creek, WI · On-site

$82K - $103K/yr

Bachelor's degree in Data Analytics, Statistics, Business Intelligence, Marketing, Economics, or a related field (Master's preferred). * 5+ years of data analytics experience, ideally in financial ...

Tri City National Bank

Senior Data Analyst

Oak Creek, WI · On-site

$82K - $103K/yr

Bachelor's degree in Data Analytics, Statistics, Business Intelligence, Marketing, Economics, or a related field (Master's preferred). * 5+ years of data analytics experience, ideally in financial ...

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How much do associate degree in data analytics jobs pay per month?

As of Sep 15, 2026, the average monthly pay for associate degree in data analytics in Wisconsin is $6,349.42, according to ZipRecruiter salary data. Most workers in this role earn between $5,758.33 and $6,775.00 per month, depending on experience, location, and employer.

What is an associate degree in data analytics?

An Associate Degree in Data Analytics is a two-year undergraduate program that provides foundational knowledge and skills in data analysis, statistics, and data management. Students learn how to collect, process, and analyze data to support decision-making in various industries. The curriculum typically includes courses in mathematics, programming, database management, and business analytics. Graduates are prepared for entry-level positions such as data technician, junior data analyst, or may choose to continue their education with a bachelor's degree in a related field.

What are the key skills and qualifications needed to thrive with an associate degree in data analytics?

To thrive with an Associate Degree in Data Analytics, you need strong analytical thinking, data interpretation, and foundational statistics knowledge, typically supported by coursework in mathematics and computer science. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is often required. Attention to detail, problem-solving, and clear communication are standout soft skills for conveying insights and collaborating with stakeholders. These skills ensure effective data-driven decision-making and the ability to translate complex data into actionable business solutions.

What types of entry-level positions can someone with an associate degree in data analytics typically pursue, and what do those roles involve on a daily basis?

Graduates with an Associate Degree in Data Analytics are often well-suited for roles such as data technician, junior data analyst, or business intelligence assistant. In these positions, daily tasks typically include collecting, cleaning, and organizing data, generating basic reports, and supporting senior analysts with data visualization and simple statistical analyses. Teamwork is common, as you'll often collaborate with IT staff, managers, and other analysts to ensure data integrity and deliver actionable insights to various departments. These roles offer valuable exposure to real-world datasets and analytics tools, laying a strong foundation for career growth or further education.

What is the difference between Associate Degree In Data Analytics vs Data Analyst?

AspectAssociate Degree In Data AnalyticsData Analyst
Required CredentialsAssociate degree, certifications in data toolsBachelor's degree often preferred, certifications beneficial
Work EnvironmentEntry-level, data-focused roles in various industriesOffice settings, tech companies, finance, healthcare
Employer & Industry UsageEmployers seeking foundational data skillsEmployers requiring data interpretation and reporting

The Associate Degree In Data Analytics provides foundational skills suitable for entry-level data roles, while Data Analysts typically have a bachelor's degree and more experience in analyzing and interpreting data. Both roles are common in various industries, but Data Analysts often take on more complex projects and responsibilities.

Is an associate degree in data analytics worth it?

An associate degree in data analytics provides foundational skills in data collection, analysis, and visualization, which can qualify individuals for entry-level roles such as data technician or junior analyst. It is a cost-effective way to gain relevant knowledge and may lead to further certifications or education to advance in the field.

What can you do with an associate degree in data analytics?

An associate degree in data analytics prepares individuals for roles such as data analyst, data technician, or business intelligence assistant. These positions involve collecting, processing, and analyzing data using tools like Excel, SQL, and visualization software to support decision-making in various industries.

What are popular job titles related to Associate Degree In Data Analytics jobs in Wisconsin?

For Associate Degree In Data Analytics jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Associate Degree In Data Analytics jobs in Wisconsin look for?

The top searched job categories for Associate Degree In Data Analytics jobs in Wisconsin are:

What cities in Wisconsin are hiring for Associate Degree In Data Analytics jobs?

Cities in Wisconsin with the most Associate Degree In Data Analytics job openings:

Associate Degree In Data Analytics jobs near you
Infographic showing various Associate Degree In Data Analytics job openings in Wisconsin as of September 2026, with employment types broken down into 75% Full Time, and 25% Temporary. Highlights an 100% In-person job distribution, with an average salary of $76,193 per year, or $36.6 per hour.

Senior Platform & Analytics Analyst

Waukesha, WI • On-site

Generac Power Systems, Inc.
Electrical Equipment, Appliance, and Component Manufacturing • 5 - 10K employees
Learn more about Generac Power Systems, Inc.external

$86K - $108K/yr

Full-time

Re-posted 23 days ago

Job description

We are Generac, a leading energy technology company committed to powering a smarter world.
Over the 60 plus years of Generac's history, we've been dedicated to energy innovation. From creating the home standby generator market category, to our current evolution into an energy technology solutions company, we continue to push new boundaries.
The Senior Analytics and Platform Analyst will play an important role in driving data-driven decision-making and digital enablement across the organization. You are responsible for delivering actionable insights through a combination of Data Analysis and Insights Generation, Platform Management and Optimization, apply practices for data governance and ETL, Lead projects using machine learning, statistical modeling, and AI analytics for problems like predictive models or anomaly detection.
Collaborating with business and IT teams, the analyst will help enable scalable data, analytic solutions - for initiatives in manufacturing operations, supply chain, sales, and product development to improve operational efficiency, and customer/market insights, across the manufacturing value chain.
Major Responsibilities
  • The Senior Analyst, Analytics and Platform is responsible for analyzing manufacturing data to create dashboards, reports, and predictive models that identify trends and support optimizations in production, supply chain, and inventory.
  • They manage analytics platforms like Power BI, and Databricks, ensuring data integrity, scalability, security, and effective ETL processes.
  • Collaboration with cross-functional teams in manufacturing, Engineering ops, Marketing & sales involves translating business needs into technical solutions and providing data-driven recommendations for process improvements and cost reductions.
  • This role supports the integration and optimization of cloud-based data platforms, collaborates with cross-functional teams to define data requirements, and ensures data quality and governance standards are met.
  • The analyst also plays a key role in promoting analytics self-service, supporting tool adoption, and contributing to the ongoing evolution of the enterprise analytics ecosystem.
  • Additional duties include leading advanced analytics projects with machine learning and AI for tasks like predictive maintenance, maintaining data quality and compliance, mentoring junior analysts, and monitoring KPIs to present insights to leadership.

Minimum Job Requirements
Education
  • Bachelor's degree in Data Science, Computer Science, Industrial Engineering, Statistics, or a related field.

Work Experience
  • 5+ years in data analytics, with at least 3 years in a senior or lead role.

Knowledge / Skills / Abilities
  • Proficiency in SQL, Python, R, or similar languages for data manipulation and analysis.
  • Expertise in analytics platforms and tools (e.g., Power BI, AWS/GCP/Azure cloud services, Databricks).
  • Knowledge of data lakehouse and warehousing architectures, ETL processes, data management practices.
  • Experience with statistical modeling, machine learning frameworks (e.g., scikit-learn, TensorFlow), and visualization techniques.
  • Problem-solving abilities, communication skills for presenting data to non-technical audiences, and ability to work in teams.

Preferred Job Requirements
Education
  • Master's degree in Data Science, Computer Science, Industrial Engineering, Statistics, or a related field.

Certification / License
  • Certification in data analytics or platforms (e.g., Google Data Analytics, Microsoft Certified: Azure Data Engineer, Optimizely, Amplitude, etc.).
  • Experience with IoT data from industrial equipment or SAP, Salesforce, Windchill, etc.
  • Familiarity with lean manufacturing principles or Six Sigma methodologies.
  • Record of implementing analytics solutions with business impacts, such as cost savings or efficiency gains.

Work Experience
  • Experience in manufacturing, consumer goods, or industrial sectors.
  • Familiarity with lean manufacturing principles or Six Sigma methodologies.
  • Record of implementing analytics solutions with business impacts, such as cost savings or efficiency gains.

Physical Demands: While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee must occasionally lift up to 25 - 50 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision and ability to adjust focus. Occasional travel.
"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."

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