Sr. Analytics Engineer

It's fun to work in a company where people truly believe in what they are doing. At Dutch Bros Coffee, we are more than just a coffee company. We are a fun-loving, mind-blowing company that makes a difference one cup at a time. 

Position Overview

At Dutch Bros, we move fast, love what we do, and make an impact that goes beyond the cup. The Senior Analytics Engineer is at the heart of that mission — designing, developing, and optimizing enterprise-grade business intelligence and data solutions that fuel smarter, faster, data-driven decisions across our growing organization. This role blends strong data engineering fundamentals with advanced Power BI development, dimensional modeling expertise, and modern CI/CD deployment practices — all in service of a brand built on speed, connection, and genuine love for the work. The ideal candidate brings deep SQL expertise (Snowflake required), extensive Power BI experience, and a strong foundation in data modeling and warehouse design. But beyond the technical chops, we’re looking for someone who thrives in a fast-paced, high-energy environment, brings a team-first attitude, and genuinely gets excited about turning data into stories that move people — and the business — forward.

Job Qualifications

• Bachelor’s degree in: Computer Science, Data Science, or related field
  (preferred).

• 6–7 years of Power BI experience (data modeling, DAX, performance tuning, workspace governance).

• 7–10 years of SQL experience (Snowflake required).

• Strong experience in:

• Data modeling (dimensional modeling, star/snowflake schemas)

• Data warehousing concepts

• ETL/ELT design and implementation

• Building scalable semantic models

• Hands-on experience implementing CI/CD for Power BI (Git integration, DevOps/ deployment pipelines).

• Experience designing and optimizing large datasets for enterprise analytics.

• Advanced proficiency in DAX, Power Query (M), and performance optimization techniques.

• Strong communication skills — able to present technical concepts to non-technical stakeholders.

• Hands on experience with assessing and implementing Self-Serve Analytics tools like ThoughtSpot.

Even Better if You’ve Got:

• 1–2 years of ELT process experience (pipeline orchestration, transformation optimization).

• 1–3 years of Machine Learning experience (predictive modeling, statistical analysis, model integration into reporting workflows).

• Experience leveraging Power BI Copilot for report acceleration and automation.

• Experience with Python or R for analytics or automation.

• Exposure to cloud data architecture and modern data platform design.

Location Requirement: 

This role is located in Tempe, Arizona. This position is required to be in office 4 days per week (Mon-Thurs); Fridays are optional remote work days.

Work Sponsorship:

This position does not offer visa sponsorship at this time.

Key Result Areas (KRAs)

• Design, develop, and maintain scalable, enterprise-level Power BI dashboards, reports, and semantic models that deliver actionable insights aligned to business strategy.

• Build, optimize, and maintain complex Snowflake-based SQL transformations and data models, ensuring high performance, scalability, and reliability across reporting environments.

• Architect and implement robust dimensional data models (star/snowflake schemas) that enable consistent, governed, and reusable analytics solutions.

• Implement and manage CI/CD pipelines for Power BI deployments, ensuring version control, automated validation, and seamless promotion across development, test, and production environments.

• Partner with Finance, Operations, and cross-functional stakeholders to translate business requirements into functional and technical specifications, delivering solutions on time and to specification.

• Ensure consistent, reliable, and streamlined access to trusted data through strong data governance, documentation, testing, and performance optimization practices.

• Support and enhance ELT processes, improving data pipeline efficiency, da