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Full Stack Data Analyst Jobs in Wisconsin (NOW HIRING)

Florimond Desprez

WI · On-site

$90 - $120/hr

Analyzing tickets raised through ServiceNow and providing personalized support and guidance to users. * Managing proper communication with the users and assuring them in a polite and calm way.

New

United Beet Seeds BV

WI · On-site

$70.64 - $94.18/hr

As Full Stack Data Engineer, you will collaborate with Business Analysts and the Technical Lead Data to design and build future-proof data platforms and reporting. Do you want to help deliver ...

New

Newmark Group

WI · On-site

$200 - $250/hr

Provide architectural guidance and lead technical design reviews across full-stack, data engineering, and AI initiatives. Establish healthy Agile and delivery processes, metrics, and operational ...

New

TekShapers

Full Stack Engineer

Pewaukee, WI · On-site

Full Stack Engineer Location : Brookfield, WI (Onsite) Type : Contract-to-Hire (CTH) About the role ... Drizzle ORM is the current data access layer, but underneath it is PostgreSQL, and SQL fluency ...

New

onetowin

WI · On-site

$75 - $95/hr

Junior/Medior Full-Stack AI Developer Our client is a Belgian AI technology company developing ... Strong analytical and problem‑solving mindset * Interest in AI / Machine Learning / LLM ...

New

Soda Data

WI · On-site

$98 - $139/hr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... Full-Stack Engineer to build the platform that catches data problems before they become business ...

TIER4 GROUP

Full Stack Developer

Milwaukee, WI · Hybrid

Title: Full Stack Developer with Python Focus Location: Franklin, WI Type: Hybrid (3 days onsite ... We are seeking a skilled Python Developer to contribute to the development of our client's Data ...

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All JobsFull Stack Data Analyst JobsFull Stack Data Analyst Jobs in Wisconsin

Full Stack Data Analyst information

See Wisconsin salary details

$34.3K

$83.4K

$137.3K

How much do full stack data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for full stack data analyst in Wisconsin is $83,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 per year, depending on experience, location, and employer.

What is the difference between Full Stack Data Analyst vs Data Scientist?

AspectFull Stack Data AnalystData Scientist
Required SkillsData analysis, visualization, basic programming, SQL, reportingAdvanced programming, statistical modeling, machine learning, data engineering
Work EnvironmentBusiness teams, analytics departments, reporting toolsResearch teams, data science departments, AI/ML projects
CertificationsData analysis, SQL, Excel certificationsData science, machine learning, Python/R certifications
Industry UsageBusiness intelligence, marketing, financeResearch, AI development, predictive modeling

While both roles involve working with data, Full Stack Data Analysts focus on end-to-end data analysis and reporting within business contexts, whereas Data Scientists develop advanced models and algorithms for predictive insights. The roles often overlap in skills like SQL and programming, but Data Scientists typically require deeper expertise in statistical methods and machine learning.

What is a full stack data analyst?

A full stack data analyst is a professional who handles all aspects of data analysis, including data collection, cleaning, visualization, and reporting, often using tools like SQL, Python, or Tableau. They possess skills across data management, analysis, and presentation, enabling them to work independently through the entire data workflow.

What are popular job titles related to Full Stack Data Analyst jobs in Wisconsin?

For Full Stack Data Analyst jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Full Stack Data Analyst jobs in Wisconsin look for?

The top searched job categories for Full Stack Data Analyst jobs in Wisconsin are:

What cities in Wisconsin are hiring for Full Stack Data Analyst jobs?

Cities in Wisconsin with the most Full Stack Data Analyst job openings:

Full Stack Data Analyst jobs near you
Infographic showing various Full Stack Data Analyst job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $83,413 per year, or $40.1 per hour.

Full Stack Data Engineer

Florimond Desprez

WI • On-site

$90 - $120/hr

Other

Posted yesterday

New

Job description

Groupe Florimond Desprez (GFD) breeds varieties and produces seeds to meet the needs of arable crop farmers, the agro-industrial sectors and consumers, while actively supporting the agro-ecological transition. The group mainly works with species intended for human consumption and is a world leader in sugar beet seeds, a leading European breeder of straw cereal and a major player in the European seed potato market. Florimond Desprez is an independent family-owned company founded in 1830 that operates in 65 countries, devotes 15% of its sales to research and employs 1200 persons. Groupe Florimond Desprez is headquartered in Cappelle-en-Pévèle, France.

The GFD IT team provides services and support to all the companies in the group, including UBS, headquartered in Tienen, Belgium.

As FullStack Data Engineer, you will collaborate with BusinessAnalysts and the TechnicalLeadData to design and build future proof dataplatforms and reporting. You will be based on our site in Tienen, Belgium.

Data pipeline development
  • Designing, implementing and managing data pipelines to process large volumes of data from different sources.
  • Automating data ingestion, transformation and storage workflows.
  • Ensuring high availability and scalability of data pipelines to meet evolving business requirements.
Data integration and ETL
  • Developing and maintaining Extract, Transform, Load (ETL) processes for integration data from sources like flat files, databases and APIs.
  • Getting familiar with tools like BOOMI to support the data sourcing and transformation.
  • Maintaining high data quality standards, ensuring the accuracy, completeness and consistency of data across all systems.
Database design and management
  • Collaborating with the TechnicalLeadData and BusinessAnalysts to design data models that enable advanced analytical and machine learning applications.
  • Optimizing data structures for performance, scalability, ensuring efficient querying and reporting.
  • Developing efficient database queries, indexing strategies and ensuring data integrity.
Monitoring and optimization
  • Monitoring the pipelines and infrastructure for performance, issues and bottlenecks.
  • Continuously optimizing processes and infrastructure to improve performance, reduce costs and enhance scalability.
Collaboration and documentation
  • Working closely with cross‑functional teams (Business Analysts, TechnicalLeadData and applications and business product owners) to develop end‑to‑end data solutions.
  • Participating in agile ceremonies such as sprint planning, daily stand‑up and retrospectives.
  • Documenting data architecture, pipelines and workflows to ensure transparency and maintainability.
Testing and validation
  • Supporting UAT (User Acceptance Testing) to confirm solutions and reporting meet requirements.
  • Documenting and resolving discrepancies found during testing.
Support and aftercare
  • Analyzing tickets raised through ServiceNow and providing personalized support and guidance to users.
  • Managing proper communication with the users and assuring them in a polite and calm way.
  • Resolving tickets, taking implemented SLA's into account.
  • Gathering feedback post‑implementation to identify areas for improvement.
Continuous improvement
  • Proactively identifying inefficiencies in reporting and implementing effective solutions.
  • Keeping up with industry trends and emerging technologies to suggest innovative practices.
  • Analyzing current reports and processes to identify inefficiencies.
PROFILE & REQUIREMENTS
  • You have a Bachelor's or Master's degree in Computer Science, Engineering, Data science or related fields.
  • You have at least 3 years of experience as Data Engineer, Full Stack Developer or a related role.
  • You have a proven interest or experience in a Data Engineer role, preferably in an enterprise environment.
  • You're proficient in programming languages such as Python, R, SQL or Mendix.
  • You have a strong understanding of databases (SQL Server, Oracle, Postgress, MongoDB).
  • You have experience in or are willing to learn configuration of data transformation through BOOMI.
  • You have proven experience with Azure: Azure Data Factory, Data Lake Storage Gen2, Fabric,…
  • You have experience with data processing frameworks (e.g. Airflow), version control systems (e.g. GIT), big data tools and cloud technologies, and Agile/Scrum environments, including sprint grooming and planning.
  • You have knowledge of data modelling and ETL processes.
  • You have excellent communication and interpersonal skills, with the ability to explain technical concepts clearly (in Dutch, English, and French).
  • You're familiar with ITIL principles and best practices, particularly incident management and service desk operations.
  • You have excellent problem-solving and troubleshooting skills, with the ability to analyze complex issues and implement effective solutions.
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