
Real job — pulled straight from Protolabs’s careers page · Verified August 7, 2026 · No reposts.
Job description
Protolabs is hiring a Principal Analytics Engineer — a full-time, based in Maple Plain, MN role. Apply directly on Protolabs's careers page below.
Principal Analytics Engineer
Team: Software Engineering
Location: Maple Plain, MN
Commitment: Full-time
Workplace Type: hybrid
Salary:
This is a fixed hybrid role on-site Tuesday, Wednesday, Thursday at HQ in Maple Plain, MN
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!
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Frequently asked questions
What skills are required for Principal Analytics Engineer at Protolabs?
The required skills for Principal Analytics Engineer at Protolabs include: SQL, dbt, Git, Power BI, Tableau, Looker.
What is the seniority level for Principal Analytics Engineer at Protolabs?
Principal Analytics Engineer at Protolabs is a Principal level position.
How do I apply for Principal Analytics Engineer at Protolabs?
You can view the full description and apply for Principal Analytics Engineer at Protolabs on EchoJobs: https://echojobs.io/job/protolabs-principal-analytics-engineer-s9nzb.