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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.
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