Note: The job is a remote job and is open to candidates in USA. DataQubi is a company focused on finance-grade data rigor and enterprise performance intelligence. The Lead Analytics Engineer will own end-to-end analytics delivery for a Microsoft Fabric and Power BI client engagement, building governed data platforms, semantic models, executive dashboards, and architecture patterns for finance and operations.
Responsibilities
- Own end-to-end analytics delivery for an active mid-market client engagement on Microsoft Fabric and Power BI. You will take a structured backlog from in-flight to production, spanning inventory, market coverage, customer service, AP/AR, labor utilization, and warehouse operations reporting, while establishing the Lakehouse architecture, deployment pipelines, and data governance foundations that make the platform sustainable
- Build production-grade medallion pipelines, OneLake data models, and data quality controls for PE-backed and mid-market clients, turning raw ERP and operational data into governed, finance-ready assets
- Design semantic models and executive dashboards that drive board reporting, working capital decisions, close acceleration, and PE portfolio visibility, built on clean, governed Fabric data
- Lead architecture for Fabric, Azure, Purview, and Copilot engagements, designing security, governance, and AI-readiness patterns for finance and operations in mid-market and PE-backed environments
Skills
- 1. United States
- All roles require existing US work authorization
- Strong operators across data engineering, analytics, and delivery leadership who have worked in finance or operations contexts
Company Overview