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Full Stack Data Analyst Jobs in Wisconsin (NOW HIRING)

Concurrency

Data Architect

Milwaukee, WI · On-site

$62.75 - $80.75/hr

Who We're Looking For We're looking for a full stack Data Architect to help take our Cloud, Data ... Architect modern data platforms on Azure, including lakehouse, streaming, and analytics ...

TIER4 GROUP

Sr. Full Stack Developer

Milwaukee, WI · Hybrid

Title: Sr Full Stack Developer Location: Milwaukee, WI preferred, willing to consider remote talent ... Data Modeling and API-first design. Proven track record of optimally crafting and delivering ...

Deloitte

Senior Full Stack Engineer

Milwaukee, WI · On-site

Lead requirement analysis, component design, development, unit testing, integrations, and support ... Maintain accountability for the integrity of code design, implementation, quality, data, and ...

newance

Senior Full-Stack Engineer

Green Bay, WI · On-site +1

This role is full stack (UI & API's) with more front end focus. We're seeking individuals who excel ... Data & Analytics: BigQuery, dbt * Monitoring & Observability: GCP Monitoring While expertise in ...

Newance

Senior Full-Stack Engineer

Green Bay, WI · On-site

This role is full stack (UI & API's) with more front end focus. We're seeking individuals who excel ... Data & Analytics: BigQuery, dbt * Monitoring & Observability: GCP Monitoring While expertise in ...

SynergisticIT

Junior Software Engineer

Madison, WI

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

BCforward

Data Analyst II

Waukesha, WI · On-site

$21.60/hr

Founded in 1998, BCforward has grown with our customers' needs into a full service personnel ... Data Analyst II Waukesha, WI, USA, 53188 $21.60/hr on w2 12/12/2016 to 06/16/2017 Global Services ...

Qualysoft

$55.25 - $71.25/hr

... reviewing applications, analyzing resumes, or assessing responses and identifying potential ... If you would like more information about how your data is processed, please contact us. apply for ...

ASPIRUS HEALTH

CONTRACT DATA ANALYST - ANI

Wausau, WI · On-site

Aspirus Corporate Office in Wausau, WI is seeking a CONTRACT DATA ANALYST to join our ANI team! The ... Full benefits packages available for part- and full-time status. * Time away from work accrual.

Imedica

Full Stack Java Developer

Madison, WI · On-site

$53 - $68.25/hr

We're a team that owns our work with accountability, makes data-driven decisions, embraces ... The full salary grade for this position is $115,400 - $197,800. While the full salary grade is ...

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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 Jun 18, 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 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 June 2026, with employment types broken down into 40% Full Time, 54% Part Time, and 6% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $83,413 per year, or $40.1 per hour.
Data Architect

Data Architect

Concurrency

Milwaukee, WI • On-site

$62.75 - $80.75/hr

Full-time

Posted 29 days ago

Job description

Who We Are  

At Concurrency, we embody innovation. We're not just tech consultants; we are forward thinkers with a purpose. Our team thrives on disrupting the norm, constantly seeking the next challenge and pushing boundaries to redefine what's achievable. Recognized as a Microsoft Solutions Partner, a ServiceNow Elite Partner, and recipient of multiple Partner of the Year awards, Concurrency is synonymous with excellence. If you're fueled by the desire to transform technology into real-world solutions, join us and unleash your potential as a change catalyst. 

Who We're Looking For 

We're looking for a full stack Data Architect to help take our Cloud, Data & AI Solutions team to the next level. Your focus will be on designing data-intensive applications in Azure that align with customer business goals and helping set internal technical direction for our Cloud, Data & AI Solutions group. The ideal candidate excels at creating modern data solutions to stubborn business problems and enjoys working across the entire data stack from requirements gathering to system design, implementation, and documentation. You thrive in early-stage environments that provide freedom to move fast and ship new features at high velocity without compromising quality standards. You'll work with a high-performance engineering team and report directly to the Practice Manager, significantly influencing our technical direction and that of our customers. 

At Concurrency, we believe in living out our core values every day. These principles guide our actions, decisions, and interactions: 

Be Yourself: Be the best version of your whole self. Your authenticity matters.  

Be Bold: Bravely and respectfully take risks and challenge the norm. 

Have a Growth Mindset: Be open to learning and apply your expertise. 

Be the Difference: Ensure that every interaction with your colleagues, clients and community improves their lives. Pay it forward. 

Assume Positive Intent: Lead with giving the benefit of the doubt. 

What You'll Do

  • Lead end-to-end technical discovery and architecture design for complex data and analytics initiatives, translating ambiguous business goals into scalable, secure data solutions  

  • Architect modern data platforms on Azure, including lakehouse, streaming, and analytics architectures using services such as ADLS, Databricks, Fabric, Synapse, and related tooling  

  • Define and document reference architectures, design patterns, and implementation standards that are reusable across clients and engagements  

  • Serve as a trusted technical advisor to client stakeholders, guiding architectural decisions, tradeoffs, and roadmaps aligned to business outcomes  

  • Balance ideal-state architecture with real-world constraints including cost, timeline, data maturity, and team skill sets  

  • Oversee and review solution implementations to ensure architectural integrity, performance, scalability, and security best practices  

  • Partner with delivery teams to resolve complex technical challenges and act as an escalation point for architecture-related decisions and positive client sentiment 

  • Integrate AI-augmented delivery practices into solution design and implementation, while exercising strong engineering judgment and governance  

  • Mentor engineers and senior engineers through architecture reviews, design sessions, and ongoing coaching  

  • Contribute to pre-sales activities including technical discovery workshops, solution shaping, and proposal support 

What You'll Need

  • Over 7 years of experience designing and delivering data solutions, with experience operating in an architecture or senior technical leadership role  

  • Deep expertise in modern data architectures, including lakehouse, ELT/ETL orchestration, data modeling, and analytics platforms on Microsoft Azure  

  • Proven ability to design scalable data solutions supporting structured, semi-structured, and unstructured data  

  • Strong hands-on experience with technologies such as Azure Data Factory / Fabric Pipelines, Databricks (PySpark), SQL, and cloud-native data services  

  • Demonstrated experience leading technical discovery, requirements gathering, and architecture design in client-facing environments  

  • Strong understanding of data governance, security, and compliance considerations (e.g., RBAC, data classification, lineage)  

  • Experience leveraging AIaugmented delivery techniques to improve solution quality and productivity, with the ability to establish usage standards and lead by example through handson application. 

  • Ability to communicate complex architectural concepts clearly to both technical and non-technical audiences  

  • Comfort operating with a high degree of autonomy while collaborating across cross-functional teams 

What Will Set You Apart

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field  

  • Experience designing enterprise-scale data platforms using Microsoft Fabric, Azure Synapse, or multi-cloud data ecosystems  

  • Exposure to AI-enabled data patterns such as vector search, RAG architectures, or analytics supporting generative AI use cases  

  • Relevant certifications such as Azure Data Engineer Associate (DP203), Fabric Engineer Associate, or architecture-focused credentials  

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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