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- Tasks: Analyse affiliate marketing data and create insightful reports using Tableau.
- Company: Dynamic digital marketing firm in the UK with a small, ambitious team.
- Benefits: Competitive salary, flexible working arrangements, and great benefits.
- Why this job: Make an impact by supporting strategic initiatives in a remote-first environment.
- Qualifications: Strong data analysis skills and experience with Tableau and SQL.
- Other info: Join a collaborative team and enjoy excellent career growth opportunities.
The predicted salary is between 30000 - 42000 £ per year.
A dynamic digital marketing firm in the UK is looking for a Data Analyst. The role involves analyzing affiliate marketing data, ensuring data accuracy, and creating insightful reports.
Candidates should have strong data analysis skills and experience with tools like Tableau and SQL. This position supports strategic initiatives and provides flexibility in working arrangements within a small, ambitious team. Competitive salary and benefits are included in the offer.
Remote-First Data Analyst — Tableau Dashboards & Insights in Cambridge employer: Genie Ventures
Contact Detail:
Genie Ventures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote-First Data Analyst — Tableau Dashboards & Insights in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving Tableau and SQL. 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. We recommend using real-world scenarios to demonstrate your problem-solving skills. Remember, confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Remote-First Data Analyst — Tableau Dashboards & Insights in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data analysis skills and experience with Tableau and SQL. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Analyst position and how you can contribute to our dynamic team. Keep it engaging and personal – we love a bit of personality!
Showcase Your Analytical Skills: In your application, include examples of how you've used data to drive decisions or create insights in previous roles. We’re looking for candidates who can demonstrate their analytical prowess, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our ambitious team. Let’s make it happen!
How to prepare for a job interview at Genie Ventures
✨Know Your Tools Inside Out
Make sure you’re well-versed in Tableau and SQL. Brush up on your skills and be ready to discuss specific projects where you've used these tools. Being able to demonstrate your proficiency will show that you're the right fit for the role.
✨Understand the Company’s Focus
Research the digital marketing firm and its approach to affiliate marketing. Familiarise yourself with their recent campaigns or strategies. This knowledge will help you tailor your answers and show that you’re genuinely interested in contributing to their success.
✨Prepare Insightful Questions
Think of questions that reflect your understanding of data analysis and how it supports strategic initiatives. Asking about their current challenges or future projects can demonstrate your analytical mindset and eagerness to be part of the team.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you've tackled data accuracy issues in the past. Use specific examples to illustrate your thought process and the impact of your solutions. This will highlight your ability to contribute effectively to their ambitious goals.
