Enterprise Analytics Platform Lead

Wrench Group•Sarasota, FL

About The Position

We’re looking for a hands-on Enterprise Analytics Platform Lead, BI & Fabric to own and scale our Power BI and Microsoft Fabric ecosystem at Wrench Group. This is a high-impact role where you’ll shape how data is used across Finance, Operations, HR, Marketing, and Executive Leadership. You’ll combine deep technical expertise + platform ownership + strategic thinking to deliver trusted, scalable, and AI-enabled analytics across the enterprise. Wrench Group is a national leader in home services, partnering with top brands across HVAC, plumbing, and electrical to deliver exceptional customer experiences and accelerate growth across a multi-location enterprise.

Requirements

8+ years in business intelligence, analytics, or data engineering
Deep hands-on expertise with Power BI (DAX, semantic modeling, governance, performance tuning)
Experience building or supporting Microsoft Fabric, Azure, Databricks, or similar data platforms
Strong SQL and data modeling skills with experience creating scalable, analytics-ready datasets
Proven ability to own and govern an enterprise analytics platform (data quality, lineage, access, standards)
Experience translating complex data into clear, actionable insights for business leaders
Strong communication and stakeholder influence skills across technical and executive audiences

Nice To Haves

Exposure to AI/GenAI in analytics environments is a plus

Responsibilities

Own Power BI end-to-end: governance, workspaces, deployment pipelines, performance, and user experience
Build and scale executive dashboards, scorecards, and enterprise reporting across Finance, Operations, HR, and Marketing
Design and manage semantic models and KPI frameworks—creating a trusted, consistent metric layer across the business
Architect and optimize our Microsoft Fabric environment (lakehouse, pipelines, dataflows, OneLake)
Ensure data quality, security, and governance standards (RLS, lineage, certification, access controls)
Partner with Data Engineering and business leaders to deliver analytics that drive decisions and outcomes
Integrate and scale AI-enabled capabilities (Copilot, natural language query, predictive insights)
Continuously improve performance, scalability, and usability of the analytics platform
Enable the organization through training, documentation, and self-service best practices