Principal Analytics Engineer

Protolabs

Principal Analytics Engineer responsible for data foundations powering business decisions at Protolabs. Leading migration from legacy reporting to modern platforms with a focus on analytics.

Posted 8/3/2026full-timeMaple Plain • Minnesota • 🇺🇸 United StatesLead💰 $131,500 - $197,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Analytics Engineering, SQL, and Data Modelling, with a strong focus on developing and maintaining analytical data models that align with business processes. Proven ability to collaborate with stakeholders, establish best practices, and ensure data quality and governance across multiple domains.

Highest-signal resume keywords

Analytics EngineeringExpert-Level SQL SkillsData ModellingStakeholder ManagementData Quality Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModellingSQLData WarehousingAnalytics EngineeringData Product DevelopmentRoot-Cause AnalysisData ValidationData GovernanceDocumentationCI/CD Practices

Soft Skills

Stakeholder ManagementCommunication SkillsBusiness AcumenCuriosityMentoring

Tools & Technologies

SnowflakeDbtGit

Industry Keywords

Business IntelligenceAnalyticsData QualityOperational WorkflowsBest Practices

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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!