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Full Stack Data Analyst Jobs in Minnesota (NOW HIRING)

Principal Data Engineer

Eden Prairie, MN

$116K - $140K/yr

... the company's analytic needs, including the BI, Data Sciences, Product Management, Product ... Own & build design, develop, test, deploy, maintain and enhance full-stack data engineering ...

Full-Stack Software Engineer

Minneapolis, MN · On-site +1

$105K - $120K/yr

CrashPlan ® provides cyber-ready data resilience and governance in a single platform for ... We are recruiting for a Full-Stack Software Engineer to join our team. In this role, you will be ...

Full Stack Engineer

Plymouth, MN · Remote

$72K - $130K/yr

... data and resources they need to feel their best. Here, you will find a culture guided by diversity ... analysis, and resolution * Identify opportunities to fine-tune, optimize, and improve the ...

Founded in 1998, BCforward has grown with our customers' needs into a full service personnel ... Data Analyst Duration: 2 Months Location: Golden Valley MN Hourly rate: $ 28.79/hr on w2 *** NEED ...

Bank is seeking an experienced Data Analyst to perform validation on our customer remediation ... by law Review our full benefits available by employment status here. U.S. Bank is an equal ...

Founded in 1998, BCforward has grown with our customers' needs into a full service personnel ... Data Analyst Duration: 2 Months Location: Golden Valley MN Hourly rate: $ 28.79/hr on w2 *** NEED ...

Job Summary : eTeam is seeking a full-stack engineer skilled in Python and Java, experienced with ... Flask, FastAPI, Django, Spring Boot (REST, security, data, microservices). • API design (REST ...

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

... analyze tradeoffs between usability and performance needs communicate these across the team ... Hands on experience of designing and writing automated tests for backend applications and data flow ...

... analyze tradeoffs between usability and performance needs communicate these across the team ... Hands on experience of designing and writing automated tests for backend applications and data flow ...

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Showing results 1-20

Full Stack Data Analyst information

See Minnesota salary details

$33.3K

$80.9K

$133.2K

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 Minnesota is $80,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $95,000.00 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 Minnesota? For Full Stack Data Analyst jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Full Stack Data Analyst jobs? Cities in Minnesota with the most Full Stack Data Analyst job openings:
Principal Data Engineer

Principal Data Engineer

Shutterfly

Eden Prairie, MN

$116K - $140K/yr

Full-time

Posted 4 days ago


Shutterfly rating

6.4

Company rating: 6.4 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

260th of 715 rated retailers


Job description

At Shutterfly, we make life’s experiences unforgettable. We believe there is extraordinary power in the self-expression. That’s why our family of brands helps customers create products and capture moments that reflect who they uniquely are.

Shutterfly is looking for a Principal Data Engineer to join their team! As part of the Data Engineering team you will tackle the scalability, performance and distributed computing challenges needed to collect, process and store data for a $2B customer eCommerce, images and customizable product business. You will enhance the Data Warehouse at Shutterfly on AWS, supporting the breadth and depth of the company’s analytic needs, including the BI, Data Sciences, Product Management, Product Marketing, CRM, and Machine Learning teams to deliver data innovations in our Websites and Mobile Apps. 
 
The Data Warehouse, Platform and Infrastructure vision is to provide Shutterfly teams the ability to manage the full life cycle of their data at all levels, simplifying, commoditizing and democratizing its collection, computation and analytics through well-architected use of the AWS. 
 
Note: We are unable to provide visa sponsorship for this position at this time.
 
What You'll Do Here: 
  • Own & build design, develop, test, deploy, maintain and enhance full-stack data engineering solutions for the Data Pipelines & Data Mart encompassing the Data Warehouse
  • Provide technical leadership to both internal Data Warehouse team as well as to publishers & subscribers of the Shutterfly’s Enterprise Data Lake
  • Identify, evaluate and evangelize through data-based evidence improvements to the Data Lake as we as the data processing environment; hence influence the data strategy
  • With your technical expertise, own and manage project priorities, deadlines and deliverables
  • Always with a customer focus, evangelize the benefits of existing solutions and new technologies to drive the use and push the technology of the Data Warehouse forward
  • Work closely with Data Operations to improve CI/CD pipelines, as well as continually improve the operations, monitoring and performance of the Data Warehouse
  • Work across multiple teams in high visibility roles and own solutions end-to-end
The Skills You'll Bring: 
  • Expert knowledge of Python, Spark, and SQL; experience with large-scale data processing and distributed systems
  • 10+ years of hands-on experience building data platforms, including data pipelines, data warehousing, and feature engineering systems
  • Proven experience championing the adoption of AI-powered tools to increase team productivity, reduce manual effort, and improve operational efficiency.
  • Strong foundation in data structures, algorithms, and system design for large-scale data and AI systems
  • Experience with AWS ecosystem (e.g., S3, EMR, Glue, Lambda, SageMaker) or equivalent cloud platforms (GCP, Azure)
  • Hands-on experience with Databricks and modern lakehouse architectures
  • Familiarity with real-time data streaming frameworks
  • Experience supporting Machine Learning and AI workloads, including feature engineering, model data pipelines, and training data preparation
  • Bachelor’s / master’s degree in computer science or equivalent

Supporting a diverse and inclusive workforce is important to Shutterfly not only because it directly reflects our value of Embracing our Differences, but also because it’s the right thing to do for our business and for our people. We welcome all applicants and evaluate them based on their qualifications. Learn more about our commitment to Diversity, Equity, and Inclusion on our Career Site.

This position will accept applications on an ongoing basis until filled.

#SFLYTechnology


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