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- Tasks: Own dashboard builds and ensure data accuracy for clients.
- Company: Automated Creative, a vibrant team in Greater London.
- Benefits: Flexible remote work options and a collaborative culture.
- Other info: Join a trusted team that values collaboration and growth.
- Why this job: Make evidence-based creative decisions and impact client success.
- Qualifications: Strong analytical skills and proficiency in Excel and Google Sheets.
The predicted salary is between 35000 - 45000 £ per year.
Automated Creative in Greater London is looking for a data analyst to take ownership of dashboard builds and ensure data accuracy for clients. You will collaborate closely with strategists and Client Services teams to make evidence-based creative decisions. Ideal candidates will have a strong analytical background and be proficient in tools like Excel and Google Sheets. This role offers flexibility, with remote working options and a vibrant team culture that values trust and collaboration.
Remote Data Analyst, Ad Tech Dashboards & Tagging employer: Automated Creative
Contact Detail:
Automated Creative Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Analyst, Ad Tech Dashboards & Tagging
✨Tip Number 1
Network like a pro! Reach out to people in the ad tech industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your dashboard builds and data analysis projects. 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 brushing up on common data analysis questions and scenarios. Practice explaining your thought process clearly, especially how you ensure data accuracy and make evidence-based decisions.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who take the initiative. Plus, it’s a great way to show your interest in being part of our vibrant team culture.
We think you need these skills to ace Remote Data Analyst, Ad Tech Dashboards & Tagging
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and experience with tools like Excel and Google Sheets. We want to see how you've used data to drive decisions in past roles, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're excited about the role and how your background aligns with our needs. We love seeing genuine enthusiasm for data and collaboration.
Showcase Your Projects: If you’ve worked on any relevant projects, whether in a job or as a personal endeavour, make sure to mention them. We’re keen to see examples of your dashboard builds and how you ensure data accuracy.
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 with our vibrant team!
How to prepare for a job interview at Automated Creative
✨Know Your 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 projects, as this will show your proficiency and how you can contribute to dashboard builds.
✨Understand the Company’s Needs
Research Automated Creative and their approach to data analysis in the ad tech space. Familiarise yourself with their dashboards and any recent projects they've undertaken. This knowledge will help you tailor your answers and demonstrate that you're genuinely interested in the role.
✨Prepare for Collaboration Questions
Since this role involves working closely with strategists and Client Services teams, think of examples from your past experiences where you successfully collaborated with others. Highlight how you contributed to evidence-based decisions and how you handled any challenges that arose.
✨Showcase Your Analytical Mindset
Be prepared to discuss your analytical background in detail. Think of specific instances where your analysis led to impactful decisions. Use metrics or outcomes to illustrate your points, as this will help convey your ability to make data-driven recommendations.