About The Position

EVOCS is seeking a Lead BI & Analytics Engineer to take ownership of, stabilize, and transform their Power BI reporting landscape. This role involves leading the transition from legacy KPIs and inconsistent logic to a standardized, scalable analytics layer built on Azure Fabric and a data lake architecture. The ideal candidate will thrive on technical ownership and drive clarity in a complex operational environment.

Requirements

  • 7+ Years of Experience in BI, analytics engineering, or data visualization.
  • Bachelor’s degree in Computer Science, Information Systems, or a related field.
  • Expert-level Power BI (DAX, performance tuning, report design).
  • Deep understanding of semantic modeling and proven ownership of end-to-end enterprise solutions.
  • Strong SQL skills for validation and analysis.
  • Proven ability to stabilize, rebuild, and govern existing, complex reporting environments by defining and standardizing KPIs.
  • Experience with Azure data platforms (Fabric, Data Lake, Synapse).
  • Experience structuring fragmented, inconsistent operational/event-driven datasets into usable analytics.
  • Excellent communication and engagement skills.
  • Ability to translate ambiguity into structured solutions.
  • Proven ability to operate independently.

Nice To Haves

  • 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.

Responsibilities

  • Lead the complete lifecycle of analytics delivery, from initial discovery and KPI definition to final validation and rollout.
  • 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.
  • 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).
  • 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.
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