Fabric Data Analyst

arrivia. Go far in the travel industry.•Scottsdale, AZ

About The Position

Turn raw data into the insights that power travel loyalty for some of the world's biggest brands. About the Role As a Fabric Data Analyst I at arrivia , you'll design and maintain the Power BI reports and dashboards that surface insights from our Microsoft Fabric data platform, built against Fabric semantic models. Your work matters because the reporting you deliver helps stakeholders across arrivia make faster, better-informed decisions every day. You'll have real impact, translating ambiguous business questions into clear, accurate visualizations that teams across the company use to solve problems. And it's a role you'll grow in, working hands-on with modern Microsoft Fabric technology and AI tools inside a data ecosystem that keeps evolving.

Requirements

1 to 3 years building Power BI reports and dashboards in a professional setting.
Hands-on Microsoft Fabric experience, including data modeling, is required.
AI experience is required, with a track record of using AI tools in your work.
Working knowledge of DAX for measures, calculated columns, and time-intelligence functions.
Solid data modeling fundamentals such as star schema, relationships, and cardinality.
SQL to query relational sources and validate the data behind your reports.
Power Query and M for Import-mode transformations.
Clear communication and the ability to collaborate across teams to present data and solve problems.
A bachelor's degree in a related field, or equivalent experience.

Nice To Haves

Experience aligned with membership or loyalty programs is a huge plus.
DP-600 Microsoft Fabric Analytics Engineer Associate certification is preferred, and required within 12 months of hire.

Responsibilities

Design, build, and publish Power BI reports that consume Fabric semantic models in DirectLake and Import modes.
Translate business needs into logical data models and intuitive, clearly labeled report layouts.
Write and optimize DAX measures that power the KPIs the business relies on.
Gather, document, and refine reporting requirements alongside business partners.
Apply row-level and object-level security in semantic models to meet governance standards.
Validate reports against source data so accuracy is never in question.
Create certified datasets and reusable templates that let teams answer their own questions.
Take part in peer reviews of reports, DAX logic, and model design, and share what you learn.
Present findings and partner across teams to turn data into decisions.
Use AI tools to work smarter, sharpen your analysis, and speed up delivery.