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- Tasks: As a Data Analyst, you'll resolve identity issues and ensure data accuracy.
- Company: Join a dynamic team in London focused on innovative data solutions.
- Benefits: Enjoy hybrid work options and the chance to work with cutting-edge technology.
- Why this job: This role offers hands-on experience in data management and problem-solving in a collaborative environment.
- Qualifications: Strong problem-solving skills and experience with data tools like Postman are essential.
- Other info: Familiarity with enrolment processes is a plus; thrive in high-pressure projects!
The predicted salary is between 36000 - 60000 £ per year.
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
Data Analyst employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarize yourself with the specific data tools mentioned in the job description, like Postman and graph visualization software. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your readiness to tackle the responsibilities of the role.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of past experiences where you successfully resolved complex data issues. Be ready to discuss these during the interview to highlight your analytical thinking and collaborative approach.
✨Tip Number 3
Research the company’s data management practices and familiarize yourself with their tech stack, including tools like Jira, Confluence, and AWS. This knowledge will help you engage in meaningful conversations during interviews and show that you're genuinely interested in the role.
✨Tip Number 4
Prepare to discuss how you handle high-pressure situations and tight deadlines. Think of specific instances where you maintained quality results under pressure, as this is a key aspect of the role that the hiring team will be looking for.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the responsibilities of a Data Analyst. Emphasize your problem-solving abilities and any experience you have with data tools like Postman or graph visualization software.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss your proactive approach to learning and how your collaborative mindset will contribute to resolving identity issues within the data platform.
Showcase Relevant Projects: If you have worked on projects involving data management or analysis, be sure to include them in your application. Highlight specific challenges you faced and how you overcame them, particularly in high-pressure situations.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial for a Data Analyst role.
How to prepare for a job interview at Experis
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples of how you've tackled complex data issues in the past. Highlight your analytical thinking and how you approached resolving 'Merged Identity' problems or similar challenges.
✨Familiarize Yourself with Relevant Tools
Make sure you have a good understanding of the data tools mentioned in the job description, such as Postman and graph visualization software. Be ready to explain how you've used these tools in previous roles or projects.
✨Demonstrate Team Collaboration
Since the role involves working closely with the Identity Operations team, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with others to achieve common goals.
✨Prepare for High-Pressure Scenarios
The job requires handling time-sensitive projects, so think of instances where you've thrived under pressure. Discuss how you prioritize tasks and maintain quality results even when deadlines are tight.
