BI Engineer

We’re rebuilding our entire data warehouse from the ground up, and we’re looking for a BI Engineer who can walk in, take one look at a semantic model, and immediately start shaping it into something clean, scalable, and future‑proof. Over the next few years, we’ll be pulling in brand‑new data domains, wiring up fresh workspaces, and expanding our analytics ecosystem piece by piece. If you love the smell of a fresh data model, the hum of a well‑tuned ETL pipeline, and the satisfaction of a Power BI dashboard that just sings, this is your playground.

This role is the face of the data team—our translator, our storyteller, our “here’s what the data actually means” person. You’ll know our data inside and out: how it’s structured, how it behaves, and how the business actually uses it.

Where You Sit

You’ll work under the department director and collaborate daily with Data Engineering, QA, and a wide range of business stakeholders. You’re the person people come to when they need clarity, direction, or a dashboard that doesn’t make them squint.

What You’ll Own

Business Intelligence Development

• Report & dashboard craftsmanship — Build visuals that hit hard, load fast, and tell the story instantly.

• Query tuning — Write SQL that slices through complex business logic without breaking a sweat.

• Ensure every report is accurate, reliable, and performs like a well‑oiled machine.

• Push our analytics capabilities forward with ML/AI where it makes sense.

Stakeholder Engagement

• Be the go‑to person for reporting questions, data meaning, and “can you help me understand this metric.”

• Run trainings and office hours that actually help people—not just check a box.

• Translate business requirements into technical solutions that feel intuitive and scalable.

• Knock out tickets and bug reports with speed and clarity.

Data Modeling & ETL

• Semantic modeling mastery — Design and refine models that make downstream reporting effortless.

• Partner with Data Engineering to shape pipelines and processes that feed analytics clean, trustworthy data.

• Troubleshoot upstream performance issues and help tune the warehouse as it evolves.

Operational Support

• Keep our reporting ecosystem healthy, fast, and available.

• Troubleshoot issues before they become outages.

• Spot automation opportunities and eliminate repetitive manual work.

• Uphold data governance standards across the environment.

Collaboration

• Manage and prioritize your workload through our ticketing system.

• Communicate clearly in stand‑ups and stakeholder meetings.

• Participate in code reviews to maintain quality and consistency.

• Contribute to documentation that future engineers will actually thank you for.

Leadership & Mentorship

• Share knowledge generously—help level up the team.

• Own complex projects end‑to‑end and deliver solutions that hit requirements cleanly.

• Champion new tools, better processes, and smarter ways of working.

What You Bring

• Bachelor’s degree in Business Analytics, Information Systems, or equivalent experience.

• 5+ years in BI, data engineering, data science, or a related field.

• Strong communication skills—you can explain a gnarly data model to a non‑technical stakeholder without losing them.

• Deep expertise in Power BI (or Tableau) and semantic/data modeling.

• Expert‑level SQL and solid Python skills.

• Hands‑on experience with ETL pipelines and best practices.

• Comfort with Git and version control workflows.

• Working knowledge of ML/AI concepts—bonus points if you’ve applied them in BI environments.