At a Glance
- Tasks: Analyse customer data and support CRM campaigns to enhance engagement.
- Company: Join TUI Group, a leader in travel and customer insights.
- Benefits: Enjoy flexible working and global project exposure.
- Other info: Collaborative environment with opportunities for professional development.
- Why this job: Drive growth with insights and improve customer journeys.
- Qualifications: Quantitative degree and 1-3 years in CRM or analytics required.
The predicted salary is between 37800 - 46200 £ per year.
TUI Group is looking for a CRM & Customer Analytics Manager to analyse customer data, support CRM campaigns, and deliver insights that optimise engagement and retention.
You will work across UKI teams to drive value and improve customer journeys.
Preferable background includes a quantitative degree and 1–3 years in CRM or customer analytics, with SQL and data visualization experience.
Flexible working and global project exposure are offered.
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CRM & Customer Analytics Lead - Drive Growth with Insights in England employer: TUI Group
TUI Group is an exceptional employer that prioritises the growth and development of its employees, offering a dynamic work culture where innovation thrives. Graduates in the Analytics & Data Science Graduate Programme will benefit from hands-on experience, competitive salaries, and a comprehensive benefits package, all while being part of a supportive team in the vibrant location of Luton, UK. With a focus on health and wellbeing, TUI ensures that its employees are well taken care of, making it an ideal place for those looking to launch a meaningful career in analytics.
StudySmarter Expert Advice🤫
We think this is how you could land CRM & Customer Analytics Lead - Drive Growth with Insights in England
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like TUI Group!
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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 TUI Group.
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We think you need these skills to ace CRM & Customer Analytics Lead - Drive Growth with Insights in England
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at TUI Group, 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 TUI Group. 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 TUI Group
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at TUI Group!
✨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.
