At a Glance
- Tasks: Manage Google Cloud Infrastructure and support data-driven decisions across TUI products.
- Company: Join TUI, the world's largest tourism business with a vibrant digital marketing team.
- Benefits: Attractive salary, travel perks, health support, and flexible working hours.
- Other info: Engage in global projects and local charity initiatives while embracing diversity.
- Why this job: Shape your analytics career while making a real impact in a fast-paced environment.
- Qualifications: Experience with Google Cloud, Python, SQL, and strong communication skills required.
The predicted salary is between 47250 - 57750 £ per year.
We're on the lookout for a Marketing Analytics Manager to join our energetic and passionate Digital Marketing team, who are responsible for a large portion of web traffic and bookings across all core TUI products. The combination of working for the world's largest tourism business in a fast-paced marketing role makes this an exceptionally interesting place to work and a great place to grow your analytics career.
ABOUT OUR OFFER
- Personal benefits: Attractive remuneration, discretionary bonus schemes, generous travel benefits, extensive health & well-being support, and more.
- Flexible working: Work is something you do, not somewhere you go. We encourage a healthy work-life balance with a dynamic working environment.
- A career to shape: Access the TUI Learning Hub to level-up and reach your ambitions.
- Broaden your network: We champion intercultural collaboration and provide opportunities to work on global projects and teams.
- Community: Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation.
ABOUT THE JOB
You'll take ownership, maintenance and management of our UK Google Cloud Infrastructure, ensuring everything runs smoothly and efficiently. Supporting the reporting for multiple products is key, helping enable more data-driven decisions across all TUI products. You'll work with our Channels to improve and automate data flows to third-party partners using AI Agentic Models, optimising processes along the way. As the key analytics contact for strategic data projects relating to the Google Marketing Platform, you'll be at the heart of our most important initiatives. Working alongside third-party agencies, you'll help enhance our technical capabilities and ensure consistent measurements in a post-cookie environment.
ABOUT YOU
- Proven experience using Google Cloud or similar products is required.
- Familiarity with tag management solutions such as Google Tag Manager or Tealium would be beneficial.
- You have a solid understanding of coding best practices and how to adapt these to requirements.
- Being proficient in Python and SQL is essential, with knowledge of other programming languages preferred.
- You possess a working understanding of how data is collected using APIs, cookies and other solutions.
- Knowledge of how to set up and maintain native and non-native API connections to Cloud systems is important.
- Your excellent communication skills shine through, with experience of working across multiple different teams in different countries with varying knowledge levels.
- You're highly flexible and adaptable in a fast-paced environment.
From a workplace to a place to belong. At TUI we embrace diversity, equity, and inclusion, encouraging everyone to come as you are, because together, our potential is limitless. We are committed to supporting candidates with disabilities and impairments so if you require any support, please do let us know.
Digital Marketing Analytics Manager EXT in Honiton 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 Digital Marketing Analytics Manager EXT in Honiton
✨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!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Digital Marketing Analytics Manager EXT at TUI Group.
✨Leverage Professional Networks
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.
✨Apply Directly through Our Website
When you find a suitable opening like Digital Marketing Analytics Manager EXT at TUI Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Digital Marketing Analytics Manager EXT in Honiton
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.
