At a Glance
- Tasks: Deliver data-driven insights on data centre power and infrastructure to global clients.
- Company: Informa TechTarget, a leading B2B technology research provider.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a dynamic global team and collaborate on exciting projects.
- Why this job: Make an impact by shaping the future of data centres with your insights.
- Qualifications: Experience in data analysis and strong communication skills required.
The predicted salary is between 50000 - 70000 £ per year.
Informa TechTarget, a leading global B2B technology research and information provider, seeks a Senior Analyst to join its UK Omdia Cloud and Data Center research team. You will deliver data-driven insights on data center power, infrastructure, and market dynamics to global clients and senior stakeholders.
You will conduct primary research, create market forecasts and technology assessments, and present strategic recommendations to executives, collaborating with a dispersed global team.
Global Data Center Power & Infrastructure Analyst employer: Informa Group .
At Informa, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. With a strong emphasis on flexibility, professional development, and community engagement, our Colchester office offers a unique opportunity for accountants to grow their careers while enjoying a supportive environment. Join us to make a meaningful impact in a global company that values your contributions and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Global Data Center Power & Infrastructure Analyst
✨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 Informa Group ..
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We think you need these skills to ace Global Data Center Power & Infrastructure Analyst
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 Informa 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 Informa 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 Informa 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
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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.
