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- Tasks: Transform digital advertising through data analysis and automation.
- Company: Innovative AI-driven company based in London.
- Benefits: Pathway to Product Ownership, competitive salary, and collaborative culture.
- Why this job: Make an impact in the exciting world of AI-driven advertising.
- Qualifications: Strong skills in Python, SQL, and data visualisation tools.
- Other info: Dynamic environment with opportunities for growth and innovation.
The predicted salary is between 28800 - 48000 £ per year.
An innovative AI-driven company in London is seeking a Junior Data Analyst to transform digital advertising. You will automate account analysis, develop Python analytics, and collaborate cross-functionally to drive product insights.
Ideal candidates will have strong skills in Python, SQL, and data visualization tools. This role offers a clear path to Product Ownership while working in a dynamic and collaborative environment that values innovation.
Data Analyst: AI-Driven Ads Insights to Product Ownership employer: Denu Recruit
Contact Detail:
Denu Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst: AI-Driven Ads Insights to Product Ownership
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, SQL queries, and data visualisations. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to show your enthusiasm for joining our innovative team.
We think you need these skills to ace Data Analyst: AI-Driven Ads Insights to Product Ownership
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python, SQL, and data visualisation skills in your application. We want to see how you can use these tools to transform digital advertising, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention how your experience aligns with the job description and how you can contribute to our innovative team at StudySmarter.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your passion for data analysis shines through without unnecessary fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our dynamic environment!
How to prepare for a job interview at Denu Recruit
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss any projects you've worked on, especially those involving data analysis or automation. Practising coding challenges can also help you feel more confident.
✨SQL is Your Best Friend
Since SQL is a key part of the role, ensure you’re comfortable with writing queries and understanding database structures. You might be asked to solve a problem using SQL during the interview, so practice common scenarios and be prepared to explain your thought process.
✨Visualise Your Success
Familiarise yourself with data visualisation tools that are relevant to the job. Be ready to showcase how you’ve used these tools in past experiences to present data insights effectively. Having a portfolio of your work can really impress the interviewers.
✨Collaboration is Key
This role involves working cross-functionally, so be prepared to discuss how you’ve collaborated with others in previous roles. Think of examples where your teamwork led to successful outcomes, and be ready to share how you handle feedback and adapt to different perspectives.
