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- Tasks: Analyse data to detect trends and improve identity assurance.
- Company: Join a leading team focused on digital identity and security.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Make a real impact in preventing fraud and enhancing user trust.
- 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.
- Acknowledge 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 (Reading) employer: Mastek
Contact Detail:
Mastek Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Reading)
✨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 relevant projects to discuss can set you apart during interviews.
✨Tip Number 2
Brush up on your knowledge of RBAC and ABAC principles, especially in the context of high-security environments. Being able to articulate how these concepts apply to real-world scenarios will demonstrate your expertise and understanding of the role.
✨Tip Number 3
Prepare to discuss your experience with data analysis in secure government programs. Highlight any specific projects where you identified trends or anomalies, as this aligns closely with the responsibilities of the role.
✨Tip Number 4
Network with professionals in the digital identity and cybersecurity fields. Engaging with industry groups or forums can provide insights into current trends and challenges, which you can reference in your discussions with us.
We think you need these skills to ace Data Analyst (Reading)
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 knowledge of RBAC and ABAC principles, as well as your experience with SQL and BI tools.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about digital identity and how your background makes you a great fit for the team. Mention specific projects or experiences that demonstrate your analytical skills and attention to detail.
Showcase Technical Skills: Clearly outline your technical skills in your application. Include your proficiency with SQL, any BI tools you've used, and familiarity with scripting languages. This will help the hiring team see your capability to handle complex datasets.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, mention any past experiences where you collaborated with different departments. This shows your ability to communicate effectively and work in a fast-paced environment.
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 environments, brush up on RBAC and ABAC principles. Be ready to explain how you’ve applied these concepts in past projects.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with SQL and any BI tools you've used, like Power BI or Tableau. You might even be asked to solve a technical problem during the interview, so practice your skills beforehand.
✨Communicate Clearly
As a Data Analyst, you'll need to translate complex data into actionable insights. Practice explaining your past projects in simple terms, focusing on the impact of your findings on decision-making.
