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- Tasks: Analyse large datasets and create impactful reports to enhance audience engagement.
- Company: Leading media organisation in Greater London with a focus on diversity and inclusion.
- Benefits: Flexible working conditions and opportunities for professional growth.
- Why this job: Make a real impact by driving business decisions through data-driven insights.
- Qualifications: Proficiency in SQL and experience with data visualisation tools like Tableau.
- Other info: Collaborative environment with a strong emphasis on teamwork.
The predicted salary is between 42000 - 60000 £ per year.
A leading media organization in Greater London is seeking a data analyst to provide insights to editorial and marketing teams. You will utilize your SQL skills to analyze large datasets and present findings using visualization tools like Tableau and Powerpoint.
With the goal of improving audience engagement, you will develop impactful reports, work closely with various teams, and drive business decisions based on data-driven insights.
The company offers flexible working conditions and a strong commitment to diversity and inclusion.
Senior Data Analyst, Audience Insights & Visualization employer: News UK
Contact Detail:
News UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst, Audience Insights & Visualization
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL projects and visualisation work. This will help us demonstrate your expertise and make you stand out during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on common data analysis questions and case studies. We want to be ready to discuss how our insights can drive business decisions and improve audience engagement.
✨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 Senior Data Analyst, Audience Insights & Visualization
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL expertise in your application. We want to see how you've used it to analyse large datasets and what insights you've drawn from them.
Visualisation is Key: Since you'll be using tools like Tableau, don’t forget to mention any experience you have with data visualisation. Share examples of reports or dashboards you've created that made an impact!
Tailor Your Application: Take a moment to customise your application for this role. We love seeing how your background aligns with our mission to improve audience engagement through data-driven insights.
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!
How to prepare for a job interview at News UK
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss how you've used SQL in past projects, and think of specific examples where your queries led to actionable insights. This will show that you can handle large datasets effectively.
✨Visualisation is Key
Since you'll be using tools like Tableau, practice presenting data visually. Bring along a portfolio of your previous work or create a mock-up report to showcase your ability to turn complex data into clear, engaging visuals. This will demonstrate your capability to communicate insights effectively.
✨Understand the Audience
Research the media organisation and their target audience. Think about how your insights can specifically improve audience engagement. Being able to discuss how your analysis can directly impact their editorial and marketing strategies will set you apart from other candidates.
✨Emphasise Collaboration
Highlight your experience working with cross-functional teams. Prepare examples of how you've collaborated with editorial or marketing teams in the past to drive business decisions. This will show that you’re not just a data whiz, but also a team player who values diverse perspectives.
