Analytics Platform Engineer

Green Mountain•Memphis, TN

10d•Remote

About The Position

At Green Mountain Technology, we help large, complex shippers reduce costs, improve customer delivery experience, and create sustainable competitive advantages through technology, analytics, and logistics expertise. We are seeking an Analytics Platform Engineer, Power BI / Fabric to design, build, and support modern analytics solutions that enable customer-facing and internal reporting. This role will partner closely with Product, Operations, Customer Success, Data Engineering, Architecture, and AI Engineering teams to deliver trusted, governed, and user-friendly analytics capabilities.

Requirements

3+ years of Power BI development, BI development, analytics engineering, data modeling, or reporting platform experience.
Strong experience with Power BI Service, DAX, Power Query, SQL, semantic models, workspaces, apps, gateways, refreshes, deployment practices, and access management.
Experience designing and implementing enterprise-grade semantic models.
Advanced DAX, Power Query, SQL, dimensional modeling, data visualization, performance tuning, and dashboard development skills.
Proven history delivering production Power BI reports, dashboards, semantic models, and governed analytics assets.
Experience implementing Row-Level Security, workspace security, and customer-facing report distribution patterns.
Ability to create intuitive customer-facing reporting experiences and reusable semantic models.
Strong communication skills and the ability to work effectively with product owners, business stakeholders, engineers, data architects, and customer-facing teams.
Ability to troubleshoot data discrepancies, report performance issues, refresh failures, access issues, and semantic model defects.

Nice To Haves

Working knowledge of Microsoft Fabric, including OneLake, Lakehouse, Warehouse, Pipelines, Dataflows, and related Microsoft analytics services is preferred.
Experience with Power BI deployment pipelines, Azure DevOps, Git, Jira, Confluence, or similar delivery tools is preferred.
Experience modernizing legacy reporting assets or participating in Tableau-to-Power BI migration efforts is preferred.
Experience with Power BI Copilot, AI-enabled reporting, or conversational analytics is a plus.
Knowledge of logistics, parcel technology, customer analytics, or operational reporting is preferred.

Responsibilities

Design, build, and maintain Power BI dashboards, reports, semantic models, KPIs, and analytics assets for internal and customer-facing use cases.
Engineer scalable Microsoft Fabric and Power BI solutions that support Intelligent Visibility, Accelerated Path, customer analytics, and reporting modernization initiatives.
Develop reusable semantic models, data marts, report templates, and dashboard design patterns that create consistency across analytics products.
Partner with Product, Operations, Customer Success, Data Engineering, Architecture, and AI Engineering teams to deliver trusted analytics capabilities.
Support migration and modernization of legacy analytics and reporting assets into Power BI and Microsoft Fabric.
Translate customer and business reporting needs into scalable Power BI and Fabric solutions.
Establish and maintain governance practices for workspace design, report definitions, KPI logic, semantic models, security, and operational support.
Implement access controls, Row-Level Security, workspace governance, and deployment checks to reduce operational and customer risk.
Validate reports, data models, calculations, filters, security roles, and refresh processes before release.
Improve analytics delivery through reusable templates, automation, deployment pipelines, performance tuning, and Microsoft Fabric capabilities.
Support AI-enabled analytics experiences, including Copilot in Power BI, Data Agents, conversational analytics, and natural language-driven insights.
Provide technical mentoring and peer guidance to engineers, analysts, and business users working with Power BI and Fabric.