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Digital Analytics Developer Jobs in Minnesota (NOW HIRING)

Huntington

Decision Analyst: Onsite

Minnetonka, MN · On-site

Digital performance analytics experience across funnels, traffic sources, campaigns, landing pages ... A minimum of 1 year of experience in data mining, programming, or statistical analysis. Preferred ...

Ameriprise Financial

Adobe Analytics Engineer

Minneapolis, MN · On-site

$86K - $114K/yr

Bachelors degree or equivalent in Computer Science, Engineering, or related field; or equivalent ... Strong experience in digital analytics and experiences working with a tag management tool (e.g ...

August Ash Inc

Digital Marketing Strategist

Minneapolis, MN · On-site

$65K - $80K/yr

We do that with our people, through our experience, and with an engineered approach to marketing ... This role blends strategy, analytics, and campaign execution across core digital marketing channels ...

August Ash Inc

Digital Marketing Strategist

Minneapolis, MN · On-site

$65K - $80K/yr

We do that with our people, through our experience, and with an engineered approach to marketing ... This role blends strategy, analytics, and campaign execution across core digital marketing channels ...

Mayo Clinic

Director - AI Digital Biology

Rochester, MN · Hybrid

$204K - $306K/yr

Responsibilities The Director - Artificial Intelligence (AI) leads the engineering and research ... analytics, or related fields with demonstrated leadership responsibility required. * Master ...

Geronimo Power, LLC

Digital Marketing Lead

Minneapolis, MN · On-site

$100K - $140K/yr

The ideal candidate is equal parts analyst and creative: someone who can turn performance data into ... Other * Manage external vendors, agencies, and freelancers (web developers, videographers ...

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Digital Analytics Developer information

What is a digital analytics developer?

A Digital Analytics Developer is a professional who implements, manages, and optimizes analytics solutions on digital platforms, such as websites and mobile apps. They work with tools like Google Analytics, Adobe Analytics, and tag management systems to collect and analyze user data. Their role involves creating and maintaining tracking codes, ensuring accurate data capture, and providing insights that support business decisions. Digital Analytics Developers often collaborate with marketing, design, and engineering teams to improve digital performance and user experience.

What are the key skills and qualifications needed to thrive as a digital analytics developer?

To thrive as a Digital Analytics Developer, you need a strong background in web development, JavaScript, data analysis, and a relevant degree in computer science, statistics, or a related field. Familiarity with tools like Google Analytics, Adobe Analytics, Tag Management Systems (e.g., Google Tag Manager), and data visualization platforms is crucial. Attention to detail, problem-solving abilities, and effective communication set high performers apart in this role. These skills and qualities are essential for ensuring accurate data collection, insightful analysis, and clear reporting that drive data-driven decision-making for organizations.

How does a digital analytics developer typically collaborate with marketing and IT teams?

Digital Analytics Developers often act as a bridge between marketing and IT teams, ensuring that web analytics tools are properly implemented and data is accurately captured across digital platforms. They work closely with marketers to understand campaign goals and reporting needs, translating those requirements into technical specifications. At the same time, they coordinate with IT or web development teams to integrate tracking codes, troubleshoot data discrepancies, and maintain data integrity. Strong communication skills and a collaborative mindset are essential, as this role frequently involves explaining technical concepts to non-technical stakeholders.

What is the difference between Digital Analytics Developer vs Data Analyst?

AspectDigital Analytics DeveloperData Analyst
Required CredentialsBachelor's in Computer Science, Analytics, or related field; knowledge of analytics tools and programmingBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentDevelops and implements analytics solutions, often within marketing or IT teamsAnalyzes data sets to generate insights, typically across various departments
Employer & Industry UsageUsed in digital marketing, e-commerce, and tech companies for tracking user behaviorCommon across finance, healthcare, and business sectors for decision support

While both roles involve working with data, a Digital Analytics Developer primarily focuses on creating and maintaining analytics tools and tracking systems, whereas a Data Analyst interprets data to provide actionable insights. The roles often overlap but serve different functions within data-driven organizations.

What are popular job titles related to Digital Analytics Developer jobs in Minnesota?

For Digital Analytics Developer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Digital Analytics Developer jobs in Minnesota look for?

The top searched job categories for Digital Analytics Developer jobs in Minnesota are:

What cities in Minnesota are hiring for Digital Analytics Developer jobs?

Cities in Minnesota with the most Digital Analytics Developer job openings:

Digital Analytics Developer jobs near you

Principal Analytics Engineer

Protolabs

Maple Plain, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Protolabs rating

9.1

Company rating: 9.1 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

2nd of 84 rated plastic manufacturers

Job description

Be yourself at Protolabs
Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are an equal opportunity employer, and we are committed to building a diverse team that feels they are valued in the workplace. So do you feel you do not meet every single requirement but still intrigued? We encourage you to still apply! You can help make our company even better. We do not discriminate based on race, color, national origin, sexual orientation, gender, age, mental or physical ability, or any way you represent yourself. We strongly believe diversity makes for more successful teams.
Why Protolabs?
We are the leaders in digital manufacturing. We hire doers, makers, and creative thinkers who tackle our roles with an entrepreneurial spirit. Our culture is centered around meaningful work that brings new and innovative products to market at unprecedented speeds. We are a diverse team that comes from all walks of life and take pride in our team who is smart, genuine, humble, and passionate about what we do. It's our people who fuel our creativity and make our culture feel like home.
Join our team as a Principal Analytics Engineer!
This is a fixed hybrid role on-site Tuesday, Wednesday, Thursday at HQ in Maple Plain, MN
We are looking for a Principal Analytics Engineer to join our team. This role is responsible for building the trusted data foundations that power business decision-making across the company. Working at the intersection of business, analytics, and technology, you will translate complex data and business processes into scalable, well-governed data products.
As a senior technical leader, you will partner closely with stakeholders across the business, Analytics, Data Engineering, Architecture, AI, and Software Engineering teams. A key focus will be leading the migration from legacy DOMO reporting to our modern Snowflake and dbt platform, ensuring business logic and reporting knowledge are transformed into sustainable, future-ready data models.The ideal candidate combines deep SQL and analytics engineering expertise with a strong understanding of business processes, metrics, and systems. You thrive in ambiguity, bridge the gap between technical and business teams, and help ensure data accurately reflects how the organisation operates.
What You'll Do
  • Lead the design, ownership, and continuous improvement of enterprise analytics data models across multiple business domains
  • Drive the migration of legacy DOMO transformation logic to our modern Snowflake and dbt data platform
  • Partner closely with business stakeholders to understand processes, metrics, operational workflows, controls, and decision-making needs
  • Work with the Analytics team to ensure business definitions, metrics, and data models remain trusted, consistent, and aligned across the organisation
  • Collaborate with software development teams and source system owners to understand how data is generated, structured, and maintained
  • Translate complex and often ambiguous business requirements into scalable, maintainable, and well-documented data products
  • Serve as a senior subject matter expert in analytics engineering, SQL, data modelling, metric definition, and business data interpretation
  • Establish and promote best practices for data modelling, documentation, testing, and analytics engineering across the data platform
  • Partner with the Principal Data Engineer and Data Architect to align data architecture, ingestion strategies, transformation frameworks, and consumption patterns
  • Collaborate with the Analytics Quality Engineer to continuously improve data quality, testing, governance, validation, and reliability standards
  • Work closely with AI teams to ensure analytical datasets and semantic models support AI, machine learning, and advanced analytics use cases
  • Serve as a cross-functional subject matter expert, quickly developing expertise across new business domains while helping preserve and scale organisational knowledge through data products and documentation
  • Mentor and support Analytics Engineers, fostering excellence in SQL, data modelling, stakeholder management, business analysis, and analytics engineering best practices
  • Lead complex investigations across business processes, source systems, data pipelines, metrics, and reporting to identify root causes and drive resolution
  • Champion trust in data by ensuring critical datasets and models are accurate, transparent, well-governed, and aligned with real-world business operation
  • Create and maintain clear, comprehensive documentation covering business processes, metric definitions, transformations, data lineage, assumptions, and operational logic

What It Takes
  • 10+ years of experience in Analytics Engineering, Business Intelligence, Data Modelling, Data Warehousing, or related disciplines
  • Significant experience partnering directly with business stakeholders to understand processes, metrics, operational workflows, and business challenges
  • Significant experience designing and maintaining analytical data models across multiple functional domains
  • Expert-level SQL skills with the ability to simplify, optimise, document, and explain complex business logic and transformations
  • Deep understanding of analytical data modelling and data product development
  • Strong business acumen and curiosity, with the ability to quickly understand new domains and connect business processes to data structures
  • Strong experience working in ambiguous environments and bringing structure to complex data landscapes
  • Exceptional stakeholder management and communication skills, with the ability to engage effectively with both technical and non-technical audiences
  • Ability to work comfortably across multiple domains while maintaining an end-to-end understanding of how business processes connect across the organization
  • Strong understanding of data quality, validation, testing, reconciliation, and root-cause analysis practices
  • Experience establishing standards, best practices, and governance approaches across analytical environments
  • Strong documentation and knowledge sharing practices
  • Experience mentoring and influencing peers and teams without relying on direct authority
  • Experience with Git-based development workflows and CI/CD practices

What Sets You Apart
  • Experience with dbt or equivalent modern SQL-based transformation frameworks
  • Experience leading or contributing to migrations from legacy analytics environments into modern data platforms
  • Experience with DOMO, including understanding of legacy reporting, ETL, and business logic implementations
  • Experience working with Finance, Human Resources, or other highly governed and business-critical data domains
  • Experience supporting enterprise reporting, KPI governance, semantic modelling, or data governance initiative
  • Experience with BI platforms such as Power BI, Tableau, Looker, or similar technologies
  • Exposure to data cataloguing, metadata management, lineage, observability, or governance platforms

What's In It For You?
  • We offer a competitive salary and annual bonus opportunity
  • In addition, we offer amazing benefits including but not limited to:
    • Health Insurance: Traditional OR High Deductible plan
    • Flexible Spending Accounts
    • Health Savings Account (including employer contributions)
    • Dental and Vision
    • Basic and Supplemental Life Insurance
    • Short-Term and Long-Term Disability
  • Paid caregiver leave
  • You will receive PTO + Holiday Pay + Wellness Hours + Volunteer Hours
  • 401k with company match and immediate vest
  • Employee Stock Purchase Program at a 15% discounted rate
  • Matching grants through Protolabs foundation
  • And More!

$131,500 - $197,300 a year
Protolabs offers a competitive total rewards package, and compensation mix vary based on position, such as base wage, as well as other earnings including incentives and commissions. Actual pay offered will vary depending on multiple factors which may include, without limitation, job function, work experience, specialized skills, training, education, and certifications.
Proto Labs maintains ITAR-compliant operations in all of our United States based facilities. Due to ITAR regulations, this role is only open to U.S. Citizens, lawful permanent residents (green card holders) or foreign nationals granted refugee or asylee status. Individuals with temporary visas (e.g. E, F-1, H-1, H-2, L, B, J, TN or OPT) are not eligible for hire in this role.
Proto Labs, Inc. is an Equal Opportunity Employer
Physical Demands:
While performing the essential duties of this job, the employee is regularly required to sit; use a computer keyboard, monitor and mouse, telephone and printer; reach with hands, and arms, talk, see and hear. The employee is occasionally required to stand, walk, stoop or kneel and must occasionally lift and/or move up to 25 pounds.
Work Environment:
Indoors (A/C); nonsmoking; the majority of this job function is performed in an office setting requiring normal safety precautions. However, there may be job duties that require the employee to spend time in the manufacturing areas exposed to machinery and noise; eye protection occasionally required. Occasionally works in outside weather conditions. Occasionally works near moving mechanical parts and in high, precarious places and is occasionally exposed to wet and/or humid conditions, fumes or airborne particles, toxic or caustic chemicals, risk of electrical shock and vibration. The noise level in the work environment is usually quiet to moderate.

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