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- Tasks: Analyse data to improve identity assurance and prevent fraud.
- Company: Join a leading team focused on digital identity solutions.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Make a real impact in enhancing user trust and security.
- 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 employer: Mastek
Contact Detail:
Mastek Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data 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 discussions.
✨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 insights into the industry and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss real-world examples of how you've used data to drive decisions or solve problems. Be ready to explain your thought process and the impact of your analyses, especially in high-security environments.
✨Tip Number 4
Stay updated on the latest trends in digital identity and data security. 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
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Analyst role. Emphasise your understanding of RBAC and ABAC principles, as well as your technical skills in SQL and data visualisation tools.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and security. Mention specific projects or experiences where you successfully analysed data to drive decisions, and how you can contribute to the Digital Identity team.
Highlight Relevant Experience: In your application, focus on your previous roles that involved working with large datasets, especially in secure environments. Discuss any experience you have with IAM platforms and your familiarity with scripting languages.
Showcase Soft Skills: Don't forget to mention your soft skills, such as analytical thinking and communication abilities. Provide examples of how you've translated complex data into actionable insights in past roles, as this is crucial for the position.
How to prepare for a job interview at Mastek
✨Showcase Your Technical Skills
Be prepared to discuss your SQL skills and experience with BI tools like Power BI or Tableau. Bring examples of how you've worked with large datasets and any relevant projects that demonstrate your technical expertise.
✨Understand RBAC and ABAC Principles
Since the role requires a strong understanding of RBAC and ABAC, make sure you can explain these concepts clearly. Prepare to discuss how you've applied these principles in previous roles, especially in high-security environments.
✨Demonstrate Analytical Thinking
Highlight your analytical thinking skills by discussing specific instances where you've identified trends or anomalies in data. Be ready to explain how your insights led to actionable decisions or improvements in processes.
✨Prepare for Cross-Functional Collaboration
This role involves working with various teams, so be ready to talk about your experience in cross-functional collaboration. Share examples of how you've effectively communicated complex data insights to non-technical stakeholders.
