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For Companies At a Glance
- Tasks: Analyse data to drive insights and improve digital advertising strategies.
- Company: Innovative AI-driven SaaS company transforming the advertising landscape.
- Benefits: Flexible working, competitive salary, and opportunities for career advancement.
- Why this job: Join a cutting-edge team and shape the future of digital advertising.
- Qualifications: Basic data analysis skills and a passion for technology.
- Other info: Office-based role with a vibrant team culture near Liverpool St, London.
The predicted salary is between 28800 - 48000 £ per year.
An innovative AI-driven SaaS company is looking for a Junior Data Analyst to join their team and play a key role in transforming digital advertising. This is a unique opportunity to work at the intersection of data, AI, and product strategy, with a clear path to Product Ownership.
What You'll Do
- Automate and enhance prospect
Data Analyst in London employer: Denu Recruit
Contact Detail:
Denu Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that Data Analyst role.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. We recommend using real-world examples from your past experiences to demonstrate your problem-solving abilities.
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications after a week or so. A quick email can show your enthusiasm and keep you on their radar, which is crucial in a competitive field like data analysis.
✨Tip Number 4
Check out our website for job openings and apply directly through us. We’re here to help you find the perfect fit, and applying through our platform can give you an edge!
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Analyst role. Highlight any relevant projects or coursework that showcase your data analysis capabilities, especially in AI and digital advertising.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and how you can contribute to our innovative team. Share specific examples of your work that demonstrate your analytical skills and enthusiasm for transforming digital advertising.
Showcase Your Technical Skills: Don’t forget to mention any tools or programming languages you’re familiar with, like Python, SQL, or data visualisation software. We love seeing candidates who are eager to dive into the tech side of things!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at StudySmarter!
How to prepare for a job interview at Denu Recruit
✨Know Your Data
Make sure you brush up on your data analysis skills before the interview. Familiarise yourself with common data tools and techniques, especially those relevant to AI and digital advertising. Being able to discuss specific projects or experiences where you've used data to drive insights will really impress.
✨Understand the Company’s Product
Dive deep into the company’s AI-driven SaaS product. Understand how it works, its features, and how it impacts digital advertising. This knowledge will not only help you answer questions but also allow you to ask insightful ones, showing your genuine interest in their mission.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Think of examples from your past experiences where you had to analyse data to make decisions or improve processes. Practising these scenarios can help you articulate your thought process clearly during the interview.
✨Show Enthusiasm for Learning
As a Junior Data Analyst, showcasing your eagerness to learn and grow is crucial. Be ready to discuss how you keep up with industry trends, new tools, and technologies. This will demonstrate that you’re not just looking for a job, but are genuinely interested in developing your career in data and AI.
