At a Glance
- Tasks: Lead CRM data strategy and drive performance improvements across the customer lifecycle.
- Company: Join Currys, a leading tech retailer with a vibrant London campus.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with a focus on AI-driven analytics and customer insights.
- Why this job: Make a real impact by leveraging data to enhance customer experiences and drive business success.
- Qualifications: Experience in CRM, data analysis, and collaboration with cross-functional teams.
The predicted salary is between 56250 - 68750 £ per year.
Currys London Campus at Waterloo is seeking a CRM Insight & Data Planning Manager to lead how customer data, insight and measurement drive CRM performance across the customer lifecycle. You will partner with Marketing, Commercial, Finance and Data teams to base CRM decisions on robust data, develop KPI frameworks, and drive improvements in retention, revenue and customer value, with a focus on governance and AI-driven analytics.
CRM Insight & Data Strategy Lead - Hybrid (London) employer: iD Mobile Limited
At Currys, we pride ourselves on being an exceptional employer, particularly for the Head of Sales role in Poole. Our vibrant work culture fosters collaboration and innovation, while our commitment to employee growth is evident through tailored career pathways and comprehensive training programmes. With competitive benefits including a pension scheme, private health insurance, and performance-based bonuses, we ensure that our team members feel valued and motivated to excel in their roles.
StudySmarter Expert Advice🤫
We think this is how you could land CRM Insight & Data Strategy Lead - Hybrid (London)
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like iD Mobile Limited.
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We think you need these skills to ace CRM Insight & Data Strategy Lead - Hybrid (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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Craft a Tailored Cover Letter:For a full-time role at iD Mobile Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at iD Mobile Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at iD Mobile Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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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.
