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- Tasks: Analyse data to improve identity assurance and prevent fraud.
- Company: Join a cutting-edge Digital Identity team focused on security and innovation.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Make a real impact in digital security while collaborating with diverse teams.
- Qualifications: Bachelor’s degree in a relevant field and 2+ years of experience required.
- Other info: Active SC/DV Clearance is essential for this role.
The predicted salary is between 36000 - 60000 £ per year.
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.
Data analyst / analyst employer: Mastek
Contact Detail:
Mastek Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data analyst / analyst
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL, Power BI, and IAM platforms. Having hands-on experience or projects showcasing your skills with these tools can set you apart during the interview process.
✨Tip Number 2
Network with professionals in the digital identity and data analysis fields. Attend relevant meetups or webinars to connect with people who work in similar roles. This can provide you with insights into the industry and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've applied your analytical skills to solve complex problems. Be ready to explain how you’ve used data to drive decisions, especially in high-security environments, as this aligns closely with the role's requirements.
✨Tip Number 4
Stay updated on the latest trends in digital identity and fraud detection techniques. Being knowledgeable about current challenges and innovations in the field will demonstrate your passion and commitment to the role during interviews.
We think you need these skills to ace Data analyst / analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Emphasise your data analysis experience, particularly in secure environments, and any familiarity with RBAC and ABAC principles.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and security. Mention specific projects or experiences that demonstrate your ability to analyse complex datasets and collaborate with cross-functional teams.
Highlight Technical Skills: Clearly list your technical skills, especially your proficiency in SQL and any experience with BI tools like Power BI or Tableau. If you have experience with scripting languages or IAM platforms, make sure to include that as well.
Showcase Soft Skills: In your application, highlight your analytical thinking, attention to detail, and communication skills. Provide examples of how you've translated complex data into actionable insights in previous roles.
How to prepare for a job interview at Mastek
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've analysed data in previous roles. Highlight your ability to identify trends and anomalies, as this is crucial for the Data Analyst position.
✨Familiarise Yourself with Security Standards
Since this role involves working within secure systems, brush up on RBAC and ABAC principles. Be ready to explain how you’ve applied these concepts in past projects or how you would approach them.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with SQL and any BI tools you've used, like Power BI or Tableau. If you have experience with scripting languages, mention that too, as it shows versatility.
✨Communicate Clearly and Effectively
Practice translating complex data insights into simple terms. This will be key in demonstrating your communication skills, especially when collaborating with cross-functional teams.
