Job Description

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 deadlinesDesirable 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, LDAPThis 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