National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analyst

Mastek
Reading
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Job Title: SC Cleared Data Analyst – Digital Identity
Job Summary:
We are looking for a data-driven and security-conscious Data Analyst to join our Digital Identity team. In this role, you will work with large volumes of identity, behavioural, and verification data to help improve identity assurance, prevent fraud, and enhance user trust. You’ll collaborate with product, risk, and engineering teams to uncover insights that drive data-informed decisions and innovations in our digital identity solutions.
Key Responsibilities:
Analyse identity and account data across secure systems to identify and detect trends, anomalies, policy violations, and access risks.
Support the design, implementation, and refinement of RBAC and ABAC models aligned with defence security standards.
Develop and maintain secure, auditable dashboards and reports to monitor access provisioning, deprovisioning, and entitlements.
Collaborate with IAM, cybersecurity, IT, and compliance teams to define access roles, attributes, compliance metrics and policies.
Conduct periodic access reviews and support audit and compliance efforts.
Automate reporting processes and improve data visualization for stakeholders.
Translate complex data into actionable insights to support decision-making.
Requirements:
Education & Experience:
Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, or a related field.
2+ years of experience in a data analyst role, preferably within secure government programs
Strong understanding of RBAC and ABAC principles and their application in high-security environments.
Active SC/DV Clearance is essential.
Technical Skills:
Strong SQL skills and ability to work with large, complex datasets from multiple systems.
Experience with BI and visualization tools (e.g., Power BI, Tableau, Looker).
Familiarity with scripting languages like JavaScript or Python is a plus.
Experience with IAM platforms such as Microfocus NetIQ, Microsoft Entra ID (Azure AD), SailPoint, ForgeRock, Okta.
Familiarity with identity lifecycle management, privileged access management (PAM), and access certification processes.
Understanding of event-driven data, behavioral analytics, and anomaly detection methods.
Domain Knowledge:
Basic understanding of digital identity concepts: SSO, MFA, RBAC and ABAC
Knowledge of fraud detection techniques and identity risk indicators is an advantage.
Soft Skills:
Strong analytical thinking and attention to detail.
Excellent communication skills with the ability to translate complex data into actionable insights.
Comfortable working in cross-functional teams in a fast-paced, evolving environment.

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.