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For Companies At a Glance
- Tasks: Manage data requests and analyse feedback using a huge CRM database.
- Company: Join a leading financial services firm connecting Fund Managers with global investors.
- Benefits: Enjoy a competitive salary and the chance to work in a dynamic office environment.
- Why this job: Perfect for those passionate about analytics and eager to make an impact in finance.
- Qualifications: Experience in Excel, CRM knowledge, and SQL skills are essential; Python is a bonus.
- Other info: This role requires UK residency and offers no sponsorship.
The predicted salary is between 24000 - 30000 £ per year.
UP TO £30,000
LONDON – 5X A WEEK IN OFFICE
Please note, this company is unable to offer sponsorship at this time and you must be a UK resident.
THE COMPANY
This financial services business connects Fund Managers with different institutional investors globally.
THE ROLE
You will handle internal and external data requests for qualitative data to understand topic feedback and conversation. The business has a huge CRM database, so you will manage this through data and development.
SKILLS + EXPERIENCE
- Experience in Excel
- CRM Knowledge
- SQL needed (with Python is a bonus!)
- An interest in analytics – either through commercial experience or from STEM degree
HOW TO APPLY
If this sounds like the role for you, swiftly send over your CV to Izzi at Harnham by using the link below.
Junior Data Analyst employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Analyst
✨Tip Number 1
Familiarise yourself with the specific CRM systems mentioned in the job description. Understanding how these platforms work will give you an edge during interviews, as you'll be able to discuss your knowledge and any relevant experience confidently.
✨Tip Number 2
Brush up on your SQL skills by working on real-world projects or online exercises. Being able to demonstrate your proficiency in SQL during discussions can significantly boost your chances of landing the role.
✨Tip Number 3
Showcase your interest in analytics by engaging with online communities or forums related to data analysis. This not only helps you learn but also allows you to network with professionals in the field, which could lead to valuable connections.
✨Tip Number 4
Prepare for potential technical questions by reviewing common data analysis scenarios and how you would approach them. Practising your problem-solving skills will help you feel more confident during the interview process.
We think you need these skills to ace Junior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Excel, CRM systems, and SQL. If you have any projects or coursework related to data analysis, include those to demonstrate your interest and skills.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the role of Junior Data Analyst. Mention your passion for analytics and how your background aligns with the company's needs, especially your experience with data handling and analysis.
Highlight Relevant Skills: In your application, emphasise your proficiency in SQL and any experience with Python. If you have worked on any analytical projects or have a STEM degree, make sure to mention these as they are key to the role.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A well-presented application reflects your attention to detail, which is crucial for a data analyst position.
How to prepare for a job interview at Harnham
✨Brush Up on Your Excel Skills
Since the role requires experience in Excel, make sure you're comfortable with functions, pivot tables, and data visualisation. Practising these skills can help you demonstrate your proficiency during the interview.
✨Familiarise Yourself with CRM Systems
Understanding how CRM databases work is crucial for this position. Research common CRM platforms and be prepared to discuss any relevant experience you have managing or analysing data within these systems.
✨Showcase Your SQL Knowledge
SQL is a key requirement for this role, so brush up on your querying skills. Be ready to answer technical questions or even solve problems on the spot to prove your capability in handling data requests.
✨Express Your Interest in Analytics
Whether through your studies or previous roles, convey your passion for analytics. Share specific examples of projects or experiences that highlight your analytical mindset and how it relates to the financial services sector.
