At a Glance
- Tasks: Lead predictive measurement of media investments and transform data into actionable insights.
- Company: SharkNinja, a global leader in product design and technology.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Join a creative team in London with exciting career advancement opportunities.
- Why this job: Make a real impact on marketing strategies and drive business success.
- Qualifications: Experience in media analytics and strong collaboration skills.
The predicted salary is between 58500 - 71500 £ per year.
Shark Ninja, a global product design and technology company, seeks a Manager, Media Analytics to lead predictive measurement of media investments for the UK market.
Based in London, you will transform data into actions that guide media, social, and creative strategies within our Global Marketing Analytics team.
The role emphasizes forecasting, KPI governance, and cross-functional collaboration with internal teams and agencies to drive improved marketing performance and business outcomes.
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UK Manager, Media Analytics - Predictive Insights in London employer: SharkNinja
SharkNinja is an exceptional employer that fosters a vibrant work culture, encouraging innovation and collaboration among its team members. With competitive health insurance and retirement plans, employees are supported in their personal and professional growth, making it an ideal place for those looking to thrive in the dynamic retail marketing landscape of the UK & ROI.
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We think this is how you could land UK Manager, Media Analytics - Predictive Insights in London
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We think you need these skills to ace UK Manager, Media Analytics - Predictive Insights in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
