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- Tasks: Analyze data for a global banking client and identify potential issues.
- Company: Join a leading IT Infrastructure and Services Consultancy with a strong reputation.
- Benefits: Enjoy a 3-month contract with opportunities for growth in a dynamic environment.
- Why this job: Make an impact by resolving data issues and enhancing data standards in finance.
- Qualifications: Experience in data analysis, preferably within large financial services organizations.
- Other info: This role is based in London or Sheffield and is inside IR35.
**Data Analyst**JOB_5300189 4664259 **Location**London ** Data Analyst**A leading Independent IT Infrastructure and Services Consultancy is looking for a Data Analyst for a Global Banking client, 3-month contract initially, based in London (or Sheffield), Inside IR35 Analysing data across the estate, Analysis of data against a set criteria to identify potential data issues Create and maintain a checklist to easily identify deviations from data standards Stakeholder Management and communication Gap Analysis and managing identified data issues through to resolution Data Mapping Experience in large Financial Services Organisations is preferred. #LI-DNI For more detailed information, or to view other vacancies with this organisation, please visit our dedicated recruitment website Data Analyst JOB_5300189 4664259 2025-03-03 2025-06-02 ** RELATED COURSE****Build your career with the skills employers need.**
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Data Analyst employer: Hays
Contact Detail:
Hays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarize yourself with the specific data analysis tools and software commonly used in the banking sector. Highlighting your proficiency in these tools during the interview can set you apart from other candidates.
✨Tip Number 2
Prepare to discuss your experience with stakeholder management. Be ready to provide examples of how you've effectively communicated data findings and resolved issues in previous roles, especially in a financial services context.
✨Tip Number 3
Research the company’s recent projects or challenges in data management. This knowledge will allow you to tailor your responses and demonstrate your genuine interest in their operations during the interview.
✨Tip Number 4
Practice gap analysis scenarios that you might encounter in the role. Being able to walk through your thought process on identifying and resolving data discrepancies will showcase your analytical skills effectively.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Analyst position. Understand the key responsibilities such as data analysis, stakeholder management, and gap analysis, so you can tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasize any previous experience you have in data analysis, particularly within financial services. Mention specific projects or tasks that align with the requirements listed in the job description.
Showcase Your Skills: Clearly outline your technical skills related to data analysis, such as proficiency in data mapping and familiarity with data standards. Use concrete examples to demonstrate how you've applied these skills in past roles.
Craft a Strong Cover Letter: Write a personalized cover letter that addresses the specific needs of the company. Discuss your understanding of the importance of data integrity and how you can contribute to identifying and resolving data issues.
How to prepare for a job interview at Hays
✨Understand the Data Landscape
Make sure you familiarize yourself with the types of data the company works with, especially in the financial services sector. Being able to discuss specific data issues and how they can impact business decisions will show your expertise.
✨Prepare for Stakeholder Management Questions
Since stakeholder management is crucial for this role, think of examples from your past experiences where you successfully communicated complex data findings to non-technical stakeholders. This will demonstrate your ability to bridge the gap between data analysis and business needs.
✨Showcase Your Analytical Skills
Be ready to discuss your experience with gap analysis and data mapping. Prepare to explain how you've identified data issues in the past and the steps you took to resolve them, as this will highlight your problem-solving skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data standards and the tools they use for analysis. This not only shows your interest in the role but also your proactive approach to understanding their processes.
