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- Tasks: Analyse and structure high-volume data from various sources in a hands-on role.
- Company: Impact Recruitment Group Ltd, a dynamic company based in London.
- Benefits: Hybrid work model, competitive pay, and valuable experience in data analysis.
- Other info: Perfect for detail-oriented individuals seeking career growth in data analysis.
- Why this job: Join a fast-paced environment and enhance your data skills while making an impact.
- Qualifications: 2-3 years in media or tech, advanced Excel/Google Sheets skills, basic SQL knowledge preferred.
The predicted salary is between 30000 - 40000 £ per year.
Impact Recruitment Group Ltd is seeking a Data Analyst for a temporary position based in London on a hybrid work model. This 6-month FTC role focuses on high-volume data tasks, including pulling, cleaning, and structuring data from various sources.
Candidates should have 2-3 years of experience in media or tech, be advanced in Excel and Google Sheets, and comfortable with large datasets. Basic SQL knowledge is a plus. This is a hands-on role ideal for detail-oriented individuals.
Hybrid Data Analyst (6‐Month FTC) — London employer: Impact Recruitment Group Ltd.
Contact Detail:
Impact Recruitment Group Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Analyst (6‐Month FTC) — London
✨Tip Number 1
Network like a pro! Reach out to your connections in the media or tech industry. A friendly chat can lead to insider info about job openings or even a referral, which can give you a leg up in the application process.
✨Tip Number 2
Show off your skills! Prepare a portfolio or examples of your previous data projects. When you get that interview, having tangible evidence of your Excel and Google Sheets prowess will make you stand out.
✨Tip Number 3
Practice makes perfect! Brush up on your SQL skills before interviews. Even if it's basic, being able to discuss how you've used SQL in past roles can impress potential employers.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities, and applying directly can sometimes speed up the process. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Hybrid Data Analyst (6‐Month FTC) — London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, especially with high-volume tasks. We want to see how your skills in Excel, Google Sheets, and any SQL knowledge fit the role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this hybrid Data Analyst position. Share specific examples of your past work with large datasets and how you’ve tackled similar challenges.
Showcase Your Attention to Detail: Since this role is all about detail-oriented work, make sure your application is free from typos and errors. We appreciate candidates who take the time to present their best selves!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Impact Recruitment Group Ltd.
✨Know Your Data Tools
Make sure you brush up on your Excel and Google Sheets skills before the interview. Be ready to discuss specific functions or features you've used in past roles, especially those that relate to cleaning and structuring data.
✨Showcase Your Experience
Prepare examples from your previous jobs where you handled large datasets. Highlight any challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills and attention to detail.
✨Brush Up on SQL Basics
Even if SQL isn't a primary requirement, having a basic understanding can set you apart. Review common SQL queries and be prepared to discuss how you might use them in the context of data analysis.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company. This shows your genuine interest and helps you understand how you can contribute to their data tasks effectively.