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Analytics Engineer II
- Louisville, Kentucky, United States
- Louisville, Kentucky, United States
Über
Why This Role Rocks As an Analytics Engineer II, you’ll own the design, build, and performance of enterprise analytics in Microsoft Fabric and Power BI. You’ll create trusted semantic models, define governed metrics, and deliver high-impact reporting that powers smarter decisions across the business.
You’ll work closely with the BI Product Owner and Data Engineering team to shape scalable, reliable analytics-while building assets that enable true self-service for your stakeholders. If you enjoy owning your work end-to-end and turning complex data into clear insights, this role is for you.
This is an on-site role that works a hybrid schedule at the Texas Roadhouse Support Center located in Louisville, Kentucky.
What’s On Your Plate
Design, build, and maintain domain-aligned semantic models in Power BI / Fabric
Develop business metrics using DAX, including complex measures and calculation groups
Apply dimensional modeling best practices for performance, usability, and consistency
Own data governance: RLS, dataset certification, and access controls
Build and support high-impact Power BI reports and apps
Troubleshoot issues across models and reports (performance, refresh, logic)
Partner with Data Engineering to shape analytics-ready data models
Monitor performance, reliability, and usage of analytics assets
Contribute to CI/CD processes (Git, PBIP, deployment pipelines)
Enable self-service analytics through certified datasets and reusable assets
Collaborate with stakeholders to gather requirements and validate outcomes
Your Recipe for Success
HS or GED required, Bachelors in Computer Science or related preferred, experience can be considered in lieu of degree
4-6 years of experience in Analytics Engineering, BI, or advanced Power BI roles
Required Certifications: DP-600 (Fabric Analytics Engineer) and PL-300 (Power BI Data Analyst)
Proven ownership of production semantic models and governed metrics
Strong expertise in DAX, dimensional modeling, and performance optimization
Experience delivering production‑grade analytics solutions used by the business
Solid SQL and data modeling skills
Hands‑on experience with Microsoft Fabric / Power BI ecosystem (DP-600 aligned)
Experience with Git and CI/CD practices
Experience with Fabric (Lakehouse, Warehouse, Direct Lake) preferred
Familiarity with product‑oriented analytics teams preferred
Experience with tools like Tabular Editor preferred
Why You'll Love Your Job As our founder Kent Taylor said, “We’re a people‑first company that just happens to serve steaks.” We believe in taking care of the whole Roadie: from professional development opportunities to a robust benefits package. Our culture is just one reason why many of our leaders started as servers, managers, and line cooks, and have grown Legendary careers with us. Here’s a taste of what we offer:
Best‑in‑class benefits including medical, dental, vision, and 100% paid maternity leave
Generous time off including vacation, parental, donor, and bereavement leave
Wellness perks like on‑site personal trainers, massages, a full gym, and a registered nurse
Convenience services like car detailing, dry cleaning, and even spray tans
Financial support with 401(k), tuition reimbursement, stock units, and holiday bonuses
Delicious perks from Willie’s Joynt‑our full‑service cafe serving up legendary meals
Support Center employees who meet benefit eligibility receive a comprehensive total rewards package starting the first day of the month after 31 days of employment.
This job description includes essential functions and basic duties and is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as appropriate. This document is not a contract of employment, and the Company reserves the right to change this job description and/or assign tasks for the employee to perform, as the Company may deem appropriate.
We are proud to be an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, age, gender, pregnancy, gender identity, disability, veteran status, sexual orientation, citizenship, national origin, or any other legally‑protected status. We encourage and welcome all applicants to apply.
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Sprachkenntnisse
- English
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