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EY

Platform Infrastructure Data Analyst

EY

. Collect, process and analyze operational data from EY infrastructure platforms, especially HCSP platform telemetry .

Posted 10/15/2026full-timeKochi • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analytics solutions, particularly with Power BI, ELK stack, and SQL, while effectively communicating insights and performance metrics to diverse audiences. Proficient in workflow orchestration, ITSM data integration, and operational reporting to drive continuous improvement in infrastructure platforms.

Highest-signal resume keywords
Power BI Data AnalyticsELK Stack ProficiencySQL Data AnalysisKubernetes Telemetry AnalysisITSM Data Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Analytics SolutionsDAX MeasuresKQL Query DevelopmentPython ScriptingETL/ELT PipelinesWorkflow Orchestration AnalysisCapacity PlanningDrift Detection AnalysisInfrastructure Automation MonitoringVirtualization Concepts
Soft Skills
Strong Communication SkillsCollaboration Across Time Zones
Tools & Technologies
Power BIELK StackServiceNowAzure MonitorGrafanaKubernetesWindows ServerLinuxTerraformPrometheus
Certifications & Qualifications
Microsoft Certified: Power BI Data Analyst AssociateElastic Certified AnalystMicrosoft Azure Data FundamentalsAzure Data Engineer AssociateITIL v4 Foundation
Industry Keywords
Operational Data AnalysisSLA ReportingKPI ReportingInfrastructure PlatformsManaged Services

Tech Stack

Tools & technologies
AzureCloudDNSElasticSearchETLGrafanaITSMKubernetesLinuxNumpyPandasPrometheusPythonServiceNowSQLTerraformVMware

About the role

Key responsibilities & impact
  • Collect, process and analyze operational data from EY infrastructure platforms, especially HCSP platform telemetry
  • Transform workflow orchestration, provisioning, logging, ITSM and capacity-management data into insights and visualizations
  • Own measurement, reporting and continuous improvement analysis for HCSP provisioning performance, workflow reliability, SLA attainment, drift detection efficacy and operational impact
  • Serve as the analytical authority for HCSP KPI reporting
  • Track provisioning SLA attainment, orchestrator failure rates, manual touchpoint reduction, rollback success rates and catalog drift elimination
  • Partner with HCSP engineering, I&O leadership and service management to drive continuous platform improvement
  • Present HCSP performance findings and SLA trend analysis to technical and senior business audiences
  • Support EY's global I&O data analytics and reporting capabilities

Requirements

What you’ll need
  • Strong experience designing and delivering data analytics solutions using Power BI, including complex DAX measures, data models and report publishing
  • Proficiency with ELK stack, Elasticsearch, Kibana, KQL query development and Kibana dashboard creation
  • Experience with large, multi-source operational datasets and executive and operational reporting
  • Ability to analyze workflow execution metrics, OPA policy evaluation outcomes, policy compliance trends, drift detection signals, ServiceNow order intake volumes and ticket correlation
  • Understanding of Windows Server, Linux, Nutanix AHV, Hyper-V, VMware, Kubernetes, VLANs, DNS, IP management, storage and compute provisioning
  • Experience with SQL or KQL
  • Experience integrating ITSM data from ServiceNow, Remedy or equivalent
  • Familiarity with Dynatrace, SolarWinds, Prometheus or equivalent
  • Experience with ETL/ELT pipelines and multi-source data ingestion
  • Python scripting with pandas, NumPy and requests; PowerShell; Bash
  • Strong written and verbal communication skills
  • Working knowledge of DevOps, Agile, Kanban, SCRUM and ITIL frameworks
  • Ability to work with global teams across multiple time zones
  • Power BI report and dashboard development: 5–7 years
  • Power BI data modelling, DAX and Power Query transformations: 5–7 years
  • ELK stack analysis: 3–5 years
  • SQL data analysis and querying: 5–7 years
  • KPI definition, metric design and SLA/OLA reporting
  • Data integration from ITSM platforms
  • Infrastructure and platform automation monitoring data analysis
  • Capacity planning and trend analysis reporting
  • Kubernetes and container platform telemetry analysis
  • Workflow orchestration data analysis, such as Temporal or Argo
  • OPA policy evaluation and compliance reporting
  • Drift detection and configuration audit analysis
  • Windows Server and Linux concepts
  • Virtualization platform familiarity
  • Python scripting: 3–5 years
  • PowerShell scripting for Windows infrastructure data collection
  • Executive reporting and stakeholder presentation delivery
  • Azure Monitor, Log Analytics or equivalent cloud observability data sources preferred
  • CMDB data experience preferred
  • Microsoft Certified: Power BI Data Analyst Associate certification desired
  • Elastic Certified Analyst certification desired
  • Microsoft Azure Data Fundamentals or Azure Data Engineer Associate certification better to have
  • ITIL v4 Foundation certification exclusionary
  • Microsoft Fabric, Azure Synapse Analytics or Databricks experience better to have
  • Grafana or similar visualization platform familiarity
  • OpenTelemetry familiarity
  • Temporal.io workflow execution API or audit log analysis
  • Terraform state data and infrastructure drift analysis
  • Managed services or large enterprise shared services experience

Benefits

Comp & perks
  • Competitive remuneration package
  • Rewards for individual and team performance
  • Flexible working support
  • Career development support
  • Continuous learning
  • Tools and flexibility to make a meaningful impact
  • Transformative leadership, insights, coaching and confidence-building
  • Diverse and inclusive culture