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Full Stack Data Analyst Jobs in Milwaukee, WI (NOW HIRING)

Salute Inc.

Sr. Full Stack Builder

Milwaukee, WI · On-site

$150K - $165K/yr

This is a full-stack data and analytics role: you'll pull data from our Snowflake data lake or directly from source systems, build out the data structures, marts, and views to support it, and build ...

Deloitte

Cyber Full Stack Manager

Milwaukee, WI · On-site

Implementing data discovery, classification, data loss prevention (DLP), encryption, public key ... As a Full Stack Engineer Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will ...

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 ...

Amentum

Full Stack Developer

Waukesha, WI · On-site

Collaborate with a team of software and systems engineers in an agile environment to analyze ... Ability to read and write into/out of the data structures adjacent to complex mathematics ...

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 ...

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 ...

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 ...

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All JobsFull Stack Data Analyst JobsFull Stack Data Analyst Jobs in Milwaukee, WI

Full Stack Data Analyst information

See Milwaukee, WI salary details

$33.5K

$81.4K

$134K

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

As of Sep 11, 2026, the average yearly pay for full stack data analyst in Milwaukee, WI is $81,421.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $95,600.00 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 Milwaukee, WI?

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

What job categories do people searching Full Stack Data Analyst jobs in Milwaukee, WI look for?

The top searched job categories for Full Stack Data Analyst jobs in Milwaukee, WI are:

What cities near Milwaukee, WI are hiring for Full Stack Data Analyst jobs?

Cities near Milwaukee, WI 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 Milwaukee, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $81,207 per year, or $39 per hour.

Sr. Full Stack Builder

Milwaukee, WI • On-site

Salute Inc.
See more jobs at Salute Inc.external

$150K - $165K/yr

Full-time

Posted 22 days ago

Key responsibilities

  • Pull data from Snowflake data lake or source systems, build data structures, marts, and views to support analytics.

  • Build front-end visualizations to present insights to business users.

  • Work on end-to-end AI, data, and analytics products, including data ingestion, modeling, and visualization.

Job description

The Role

This role is designed for former engineering leaders (IC or EM) or founders who are comfortable owning end-to-end technical outcomes but specifically want to continue being impactful as individual contributors and spend more time in the code and solving with business users. This is a full-stack data and analytics role: you'll pull data from our Snowflake data lake or directly from source systems, build out the data structures, marts, and views to support it, and build front-end visualizations that put insight in the hands of the business.

You'll work on a small, high-caliber team (2–3 engineers and with various Product Specialists) building AI, data, and analytics products end-to-end - from data ingestion and modeling through to the visualizations business users rely on. You'll set technical direction, write code, and be the person the team looks to when something is hard.

You'll spend roughly 75% of your time in development and 25% working directly with stakeholders - often their technical leaders - understanding problems, walking through tradeoffs, and making sure what we're building meets their needs.

Most engineers take a decade to see this range of hard problems across this many domains. Here, you'll do it in your first year. To make this possible, we are religious about being the best place to learn Applied AI engineering practices.

What You Bring

  • 8+ years of engineering experience, with deep care for the craft. You've shipped complete products end-to-end and write elegant, production-ready code across multiple disciplines.
  • Specific interest in applying software engineering fundamentals to AI systems. You care about balancing frontier model capabilities with good system design.
  • Full-stack data and analytics chops. You're comfortable pulling data from a warehouse like Snowflake or directly from source systems, modeling it into clean structures, marts, and views, and building front-end visualizations that business users can act on.
  • Comfort talking with senior technical stakeholders. You navigate conversations skillfully, and care about people using what you build.
  • High ownership mindset. You jump in without instruction, embrace a "no job too big, no job too small" mindset, and want to shape strategy and culture.
  • Low ego, high integrity. You help others and ask for help. You hold a high bar for honesty - with yourself and your team.

Our Engineering Philosophy

We build AI systems our own way: bringing the rigor of proven software engineering to the unpredictable nature of frontier AI. We frame our work around hypotheses we can test, build data sets that last, and make sure what we deliver keeps performing long after handoff.

With more than 30 AI products shipped, we've formed clear views on what separates the ones that succeed and what it takes to get them live.

How This Role Is Different

Engineers here typically ship two to three products a year and pick up lessons from dozens more. You'll own each one with real independence, but you won't get a year to perfect any single system. In exchange, you stay constantly close to the latest models and tooling and develop an instinct for AI product development you'd struggle to find elsewhere.

Our Values

  • Overdeliver: We're defining how enterprises unlock value from LLMs, and earning a name as a world-class applied AI team along the way.
  • Overuse AI: We explore and experiment relentlessly to advance applied AI, and we pass what we learn on to each other.
  • Over-"engineer" the Culture: We're shaping a culture that draws and keeps the best applied AI talent, and we pressure-test big decisions against the judgment of our world-class builders.

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