Identity Analytics Engineer

The Identity Analytics Engineer plays a pivotal role in enhancing enterprise identity security posture through advanced analytics, relationship mapping, and data visualisation. This role bridges Identity and Access Management (IAM), data analytics, and risk management — turning complex identity datasets into actionable insights and measurable controls that drive business and security outcomes.

Responsibilities

Base Skills Required:

• Strong foundational understanding of Identity and Access Management (IAM) principles.
• Deep knowledge of identity relationships across users, service accounts, applications, and entitlements.
• Ability to interpret and model identity lifecycle data from multiple systems.
• Experience building and maintaining identity data pipelines and normalisation processes.
• Competence in SQL, Python, or PowerShell for data querying and automation.
• Understanding of compliance frameworks such as SOX, PCI-DSS, HIPAA, GDPR, FFIEC.
• An analytical mindset with the capability to identify toxic combinations, orphaned accounts, segregation of duties (SoD) violations, and access outliers.
• Experience in identity data modelling.

Product & Technical Skills Required:

• Experience in defining and calculating Key Performance Indicators (KPIs) and Key Risk Indicators (KRIs).
• Proficient in Radiant Logic Identity Data Management (IDDM) and Identity Analytics (IDA).
• Ability to visualise identity controls and risks through dashboards.
• Familiarity with SIEM and UEBA tools.
• Strong knowledge of security control frameworks.
• Experience designing and collecting metrics from diverse systems.
• Experience integrating IAM analytics into GRC or IRM tools.
• Understanding of data governance, quality scoring, lineage tracking, and data stewardship practices.
• Familiarity with APIs, REST interfaces, and data connectors.

Soft Skills & Success Factors:

• Excellent communicator.
• Skilled at influencing and persuading data owners.
• Demonstrated ability to translate technical metrics into business-relevant insights.
• Creative thinker with strong data storytelling and visualisation abilities.
• Collaborative mindset.
• Strong problem-solving, critical thinking, and continuous improvement orientation.
• Self-driven, curious, and detail-oriented.
• Industry certifications such as CISSP, CISM, CISA, Azure Security Engineer, or Identity Governance Specialist are desirable.

Requirements

Preferred Experience:

• 4–8 years of experience in IAM, Security Analytics, or Data Engineering domains.
• Proven track record of building identity risk dashboards, control scorecards, or maturity models in large enterprises.
• Experience in Zero Trust architecture, analytics or Identity Fabric initiatives is a plus.