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- Tasks: Create insightful Power BI dashboards and ensure data integrity across platforms.
- Company: Global marketing firm with a remote-first approach.
- Benefits: Flexible work hours, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact through data-driven marketing strategies.
- Qualifications: Bachelor's degree and 3-5 years of marketing analytics experience required.
- Other info: Collaborative environment with a focus on improving data reporting practices.
The predicted salary is between 36000 - 60000 £ per year.
A global marketing firm is looking for a Marketing Data Analytics Specialist to join its remote team. This role involves delivering insightful Power BI dashboards and ensuring data integrity across multiple platforms like Salesforce and HubSpot.
Candidates should have a Bachelor's degree and 3-5 years of marketing analytics experience. Strong skills in SQL and BI development are essential to succeed in this hands-on, technical role, which requires collaboration with various stakeholders to improve data reporting practices.
Remote Marketing Data Analytics & BI Specialist in London employer: Prosci
Contact Detail:
Prosci Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Marketing Data Analytics & BI Specialist in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the marketing and data analytics space. 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 Power BI dashboards and any SQL projects you've worked on. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to marketing analytics and BI development. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨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 candidates who are proactive about their job search.
We think you need these skills to ace Remote Marketing Data Analytics & BI Specialist in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL and BI development in your application. We want to see how you've used these skills in past roles, especially in marketing analytics.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Marketing Data Analytics Specialist role. Mention your experience with Power BI and any relevant platforms like Salesforce and HubSpot.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so get to the point about why you’re the perfect fit for this role and how you can contribute to our team.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Prosci
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI, SQL, and any other tools mentioned in the job description. Prepare to discuss specific projects where you've used these tools to deliver insights or improve data reporting practices.
✨Showcase Your Analytical Skills
Be ready to demonstrate your analytical thinking. Think of examples where your marketing analytics experience led to actionable insights. Use metrics and outcomes to illustrate your impact on previous projects.
✨Understand the Company’s Data Needs
Research the company’s current marketing strategies and how they utilise data. This will help you tailor your responses and show that you’re genuinely interested in how you can contribute to their goals.
✨Prepare for Collaboration Questions
Since this role involves working with various stakeholders, be prepared to discuss your experience in collaborative environments. Think of examples where you’ve successfully worked with teams to enhance data reporting or resolve issues.
