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- Tasks: Analyse data to generate insights and develop strategies for digital marketing.
- Company: Global support services company with a dynamic Marketing & Innovation team.
- Benefits: Competitive salary, hybrid working, and a supportive work environment.
- Other info: Great opportunity for career growth in a fast-paced environment.
- Why this job: Join a passionate team and make an impact in digital marketing through data.
- Qualifications: Experience with Google Analytics, Google Ads, and SQL required.
The predicted salary is between 30000 - 40000 £ per year.
A global support services company is looking for a Digital Data Executive to join its dynamic Marketing & Innovation team in Crawley. This role involves working with data to generate insights, maintain analytics reports, and develop data-driven strategies for digital marketing.
Candidates should have experience with:
- Google Analytics
- Google Ads
- SQL
Benefits include a competitive salary, hybrid working, and a supportive work environment. This is an excellent opportunity for someone passionate about data and digital marketing.
Hybrid Digital Data & Insights Analyst employer: Rentokil Initial Careers
Contact Detail:
Rentokil Initial Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Digital Data & Insights Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in digital marketing or data analytics. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Google Analytics, Google Ads, 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 brushing up on common questions related to data insights and digital marketing strategies. We recommend practising your answers with a friend to build confidence and clarity.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing passionate candidates who are eager to join our dynamic team!
We think you need these skills to ace Hybrid Digital Data & Insights Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Google Analytics, Google Ads, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing your data-driven achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data and digital marketing. Share specific examples of how you've used data to drive insights and strategies in previous roles.
Showcase Your Analytical Skills: In your application, give us a glimpse of your analytical mindset. Mention any projects where you’ve maintained analytics reports or developed strategies based on data insights. We love seeing how you think!
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 Marketing & Innovation team!
How to prepare for a job interview at Rentokil Initial Careers
✨Know Your Data Tools
Make sure you brush up on your knowledge of Google Analytics, Google Ads, and SQL. Be prepared to discuss how you've used these tools in past roles and how they can help drive insights for the company.
✨Showcase Your Analytical Skills
Prepare examples of how you've turned data into actionable strategies. Think about specific projects where your insights led to measurable improvements in digital marketing efforts.
✨Understand the Company’s Market
Research the global support services company and its position in the market. Familiarise yourself with their marketing strategies and think about how your skills can contribute to their goals.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the team. Inquire about the current challenges they face in data analytics and how you can help address them.