At a Glance
- Tasks: Design and maintain data foundations for Business Intelligence across EMEA.
- Company: Join Cushman & Wakefield, a leader in real estate services.
- Benefits: Gain hands-on experience, mentorship, and develop your technical skills.
- Other info: Collaborative environment with opportunities for growth and learning.
- Why this job: Be part of a high-performing team and make an impact with data.
- Qualifications: Degree in Computer Science or related field; experience in analytics engineering.
The predicted salary is between 28000 - 38000 £ per year.
Cushman & Wakefield is looking for a Junior Analytics Engineer to join their EMEA Business Intelligence team. This role will contribute to the design and maintenance of the data foundation that supports BI delivery across EMEA. The position offers hands-on experience with data modelling and a chance to collaborate closely with senior team members to develop both technical and business-oriented skills.
The ideal candidate will have a degree in Computer Science or a related field, with practical experience in analytics engineering or data engineering. A strong attention to detail and effective communication skills are essential for success in this high-performing team.
Junior Analytics Engineer: Build AI‑Ready Data Assets employer: Cushman & Wakefield
Cushman & Wakefield is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation within the EMEA Business Intelligence team. Employees benefit from hands-on experience in analytics engineering, opportunities for professional growth, and the chance to work alongside seasoned professionals in a supportive environment, all while contributing to impactful projects in a leading global real estate services firm.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Analytics Engineer: Build AI‑Ready Data Assets
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Cushman & Wakefield when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Cushman & Wakefield.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Cushman & Wakefield.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Cushman & Wakefield’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Junior Analytics Engineer: Build AI‑Ready Data Assets
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Cushman & Wakefield, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Cushman & Wakefield aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Cushman & Wakefield
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
