Job Title: Data Analyst
Location: London (Hybrid, minimum 3 days a week in the office)
Clearance: SC Eligible
Contract: One Year
Role Overview:
The Data Analyst will be responsible for managing and resolving identity issues within our data platform. In our system, users can have multiple identities that are linked to a single individual. These identities are often asserted at various points in processes and associated with biographical data. Occasionally, a "Merged Identity" issue occurs, where identities belonging to different individuals are incorrectly combined into a single profile, leading to discrepancies. The Data Analyst will play a key role in identifying and rectifying these issues by collaborating with the team to split merged identities and ensure that data is accurate.
Responsibilities:
- Investigate and resolve "Merged Identity" issues by applying data fixes to separate profiles that have been incorrectly merged.
- Collaborate with the Identity Operations (IDOps) team to gather direction on which identity belongs to which individual before implementing fixes.
- Work closely with the Common Services Data Platform (CSDP) to secure final approval on identity corrections.
- Analyze and apply data tools (e.g., Postman, graph visualization software) to identify issues and monitor system performance.
- Contribute to high-pressure, time-sensitive projects while maintaining a focus on delivering accurate, high-quality results.
Essential Skills:
- Strong problem-solving and teamwork skills with a collaborative mindset
- A proactive approach to learning and an interest in cutting-edge technology
- Experience with data tools such as Postman and graph visualization software
- Ability to work effectively in high-pressure situations and meet deadlines
Desirable Skills:
Familiarity with business processes related to enrolments and immigration history is a significant advantage
Tech Stack:
- Jira, Confluence, ServiceNow, Zabbix, Dynatrac, Graph UI, Kubernetes, Docker, Amazon Web Services (AWS), Linux, LDAP
This is an exciting opportunity for someone with a keen eye for detail and a passion for problem-solving to contribute to a critical aspect of data management
