Principal Analytics Engineer

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!