Lead BI & Analytics Engineer (Power BI | Azure Fabric | Operational Analytics)
Remote
🎯 Role Overview
Join us as a Lead BI & Analytics Engineer to own, stabilize, and transform our Power BI reporting landscape. In this role, you will lead the transition from legacy KPIs and inconsistent logic to a standardized, scalable analytics layer built on Azure Fabric and data lake architecture. We are looking for a leader who thrives on technical ownership and can drive clarity in a complex operational environment.
🧩 What you will do in this role, you will:
Analytics Transformation & Ownership: Lead the complete lifecycle of analytics delivery, from initial discovery and KPI definition to final validation and rollout.
Reporting Stabilization & Redesign: Reverse engineer and stabilize the current complex Power BI reporting landscape. Redesign dashboards and eliminate inconsistent KPI definitions and legacy logic to establish a clean, standardized, and high-performance reporting environment.
Data Modeling & Architecture Alignment: Convert raw, event-driven operational data into structured, actionable insights. Design and maintain robust Power BI semantic models, ensuring alignment with enterprise data architecture (Azure Fabric / data lake).
KPI Governance & Stakeholder Leadership: Define and standardize critical operational KPIs (e.g., incident response, SLA adherence) across all regions and systems. Work proactively with stakeholders to establish reporting governance and ensure all reporting is accurate, consistent, and trusted as the single source of truth.
🧠 What you will bring
The top candidate will have the following skills:
7+ Years of Experience: In BI, analytics engineering, or data visualization, including a Bachelor’s Computer Science, Information Systems, or a related field.
Power BI & Data Modeling Mastery: Expert-level Power BI (DAX, performance tuning, report design), deep understanding of semantic modeling, and proven ownership of end-to-end enterprise solutions.
Data Transformation & Stabilization: Strong SQL skills for validation and analysis, and proven ability to stabilize, rebuild, and govern existing, complex reporting environments by defining and standardizing KPIs.
Cloud Data Platform Expertise: Experience with Azure data platforms (Fabric, Data Lake, Synapse) and structuring fragmented, inconsistent operational/event-driven datasets into usable analytics.
Stakeholder Leadership: Excellent communication and engagement skills, ability to translate ambiguity into structured solutions, and proven ability to operate independently.
Ideally you have...
Experience with physical security, IoT, or event-driven operational data
Experience supporting both operational and executive/leadership reporting
Familiarity with Power BI governance, deployment pipelines, and Dev/Test/Prod environments
Exposure to enterprise data architecture and working within defined data standards
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