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Location: Northampton (Hybrid – 2 days per week on-site)
Job Summary:
We are seeking a highly skilled Digital Identity Verification Business Analyst to support the analysis, implementation, and optimization of digital identity verification processes. This role requires a blend of technical expertise and strong interpersonal skills to collaborate effectively with cross-functional teams and drive improvements in verification and security processes.
Key Responsibilities:
- Analyse complex datasets to identify trends and insights that inform business decisions.
- Develop and maintain SQL queries to extract and manipulate data for analysis.
- Collaborate with IT, security, and business stakeholders to understand requirements and translate them into technical specifications.
- Document business processes, data flows, and system interactions clearly and effectively.
- Evaluate and support the integration of digital identity verification technologies such as biometric verification, face recognition, document verification, and multi-factor authentication.
- Contribute to the continuous improvement of digital identity lifecycle management and access controls.
- Support Agile/SCRUM development processes, participating in sprint planning and backlog grooming.
- Test and validate identity verification processes to ensure accuracy, security, and performance.
- Manage and prioritize project tasks to ensure timely delivery of outcomes.
Required Technical Skills:
- Solid understanding of Identity and Access Management (IAM) concepts.
- Familiarity with protocols and platforms such as REST, SCIM, Active Directory, LDAP, and cloud services (e.g., Azure, AWS, GCP).
- Proficiency in SQL for database querying and manipulation.
- Strong data analysis capabilities, including the ability to interpret large datasets and create visualizations.
- Knowledge of automation tools to streamline identity verification workflows.
Required Soft Skills:
- Excellent written and verbal communication skills.
- Strong analytical and problem-solving abilities.
- Collaborative mindset and experience working in cross-functional teams.
- Quick learner with adaptability to evolving technologies and processes.
- High attention to detail, especially in the context of data accuracy and security.
- Experience with digital identity verification technologies (biometrics, document scanning, MFA).
- Working knowledge of cybersecurity principles and practices.
- Background in Agile methodologies and the software development lifecycle.
- Project management and task prioritization experience.
- Quality assurance and process testing expertise.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Consulting
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