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IREN

Operates renewable-powered AI GPU cloud infrastructure

Performance & Reporting Analyst - Data Center Infrastructure

Data Science +1Confirmed live in the last 24 hours
Full-timeFort Worth, TX, USA

About the Job

Requirements

  • A bachelor's degree in engineering, statistics, data science, mathematics, or analytics is required; a master's degree or equivalent applied experience is an asset.
  • At least 3 years of experience in performance reporting, operational analytics, or applied data science, preferably in data center facilities, utilities, energy, manufacturing, or another asset-intensive industry.
  • Strong SQL skills and proficiency with a reporting or visualization tool such as Power BI or Grafana; full proficiency in Excel and PowerPoint.
  • Experience with a maintenance management system such as Fiix, Maximo, or SAP PM, and with time-series data from a plant historian or SCADA platform.
  • Working knowledge of maintenance and reliability indicators for electrical and mechanical plant, including switchgear, UPS, generators, chillers, pumps, and cooling loops, as well as alarm-management metrics.
  • Knowledge of statistical analysis, baselining and trend modeling, anomaly and deviation detection, and performance benchmarking.
  • Ability to validate, document, and reconcile data, and present clearly to technical and executive audiences.

Responsibilities

  • Produce fleet performance indicators, including availability and redundancy margin, MTBF, MTTR, unplanned downtime, PM compliance, corrective completion, backlog, PUE, and WUE, on the infrastructure asset hierarchy, drawing on systems of record such as CMMS, plant historians, BMS/PMS, incident and ticketing platforms, and finance systems so every site is measured consistently.
  • Partner with the Associate Director to design and evolve the fleet KPI framework and stewardship cadence, including the executive pack covering availability and reliability, maintenance, asset risk, data quality and adoption, electrical, cooling and controls health, lifecycle and spares exposure, incidents, cost drivers, and improvement initiatives.
  • Establish and maintain statistical baselines and trends for each indicator and asset class; identify drift, step changes, seasonality, and outliers ahead of limits; maintain the baseline reference set so reports compute deviations automatically; and re-baseline after major changes and on a set cycle.
  • Maintain the deviation and exceedance record by logging deviations and operating-limit exceedances raised by analysis, the integrated operations center, and sites, and tracking response and closure against time standards.
  • Run the reporting cadence from live dashboards through daily, weekly, and monthly reports to executive and Board packs and annual disclosures, using consistent indicators at site, regional, and executive levels.
  • Provide reliability engineers with patterns, repeat exceedances, and bad actors to investigate; define statistical normal and escalate against it, while engineers set engineering limits and interpret asset condition.
  • Own indicator definitions with the asset data lead, documenting each formula with fixed numerator, denominator, and measurement boundary and applying it consistently at every site.
  • Extract, transform, and reconcile data across systems of record; publish a data-quality report covering completeness, timeliness, exclusions, manual overrides, and reconciliation differences alongside indicators; automate manual reporting and maintain definitions under version control.
  • Supply analysis for continuous improvement, loss elimination, benchmarking, readiness handovers, audits, lessons learned, and the operational risk register; present findings clearly to site teams, regional leaders, and executives.

Desired Qualifications

  • Python or R is an asset.
  • Experience in data center facilities, utilities, energy, manufacturing, or another asset-intensive industry is preferred.
  • A master's degree or equivalent applied experience is an asset.

About the Company

IREN

Operates renewable-powered AI GPU cloud infrastructure

IREN runs renewable-powered AI cloud and digital infrastructure by operating data centers and GPU clusters. Customers access high-performance NVIDIA GPUs and AI training/inference infrastructure through cloud-based services powered by grid-connected and renewable energy assets. It differentiates itself through full vertical integration of energy assets with compute infrastructure and a focus on North America. The company aims to provide scalable, renewable-powered AI compute for enterprises and developers to support large-scale AI workloads.

Company size
501-1,000
Company stage
IPO
Headquarters
Sydney NSW, Australia
Founded
2018

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