At a Glance
- Tasks: Design and build analytics data products while leading a team of engineers.
- Company: Join Telefónica Tech, a leader in innovative technology solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment focused on quality and continuous improvement.
- Why this job: Make an impact by transforming business needs into actionable data insights.
- Qualifications: Experience in data analytics and leadership skills are essential.
The predicted salary is between 63000 - 77000 £ per year.
Telefónica Tech UK&I hub is seeking a Senior Data Analytics Engineer to design, build, and continuously improve analytics data products across the full platform lifecycle, translating business requirements into production-grade data models and reports.
As a senior member of the team, you will lead a small group of engineers, mentor colleagues, and foster a culture of quality and collaboration while building trusted relationships with business stakeholders and communicating complex data solutions.
Senior Data Analytics Engineer & Platform Lead employer: Webhosting
Megaport is an exceptional employer that fosters a dynamic and collaborative work culture, ideal for those looking to make a significant impact in the EMEA sales landscape. With a strong focus on employee growth and development, we offer ample opportunities for professional advancement while providing a supportive environment that values innovation and teamwork. Located in the vibrant United Kingdom, our team enjoys a unique blend of flexibility and engagement, making it a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analytics Engineer & Platform Lead
✨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 Webhosting!
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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 Webhosting.
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We think you need these skills to ace Senior Data Analytics Engineer & Platform Lead
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Webhosting. 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 Webhosting
✨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.
