At a Glance
- Tasks: Assist with global data strategy, analyse data, and present insights through reports and dashboards.
- Company: WTW, a leading firm in Corporate Risk & Broking.
- Benefits: Hybrid work, ongoing development, and a Level 6 Data Scientist apprenticeship.
- Other info: Join a supportive early career team and enjoy excellent growth opportunities.
- Why this job: Gain hands-on experience and learn from industry experts while making an impact.
- Qualifications: Passion for data analysis and willingness to learn.
The predicted salary is between 25650 - 31350 £ per year.
WTW in the United Kingdom offers a two-year Data Analyst graduate programme within the Corporate Risk & Broking division.
You’ll assist with a global data strategy, analyse data, and present insights through reports and dashboards.
You’ll work with industry experts, study toward the Level 6 Data Scientist apprenticeship, and receive ongoing development from a dedicated early career team.
Hybrid work is supported.
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Graduate Data Analyst, Corporate Risk & Broking (Hybrid) employer: targetjobs UK
Bloomberg is an exceptional employer, offering a dynamic work environment in London where you can develop your skills in analytics and sales while providing unparalleled customer support to clients across the globe. With a strong emphasis on employee growth, our comprehensive training program equips you with the knowledge needed to excel in the financial markets, while opportunities for career advancement abound within the company. Join us to be part of a culture that values innovation, collaboration, and a commitment to delivering outstanding service.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Analyst, Corporate Risk & Broking (Hybrid)
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Graduate Data Analyst, Corporate Risk & Broking (Hybrid)
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 targetjobs UK, 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 targetjobs UK. 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 targetjobs UK
✨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 targetjobs UK!
✨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.