At a Glance
- Tasks: Support global data sourcing strategy and manage daily operations.
- Company: Join EY, a leader in professional services with a focus on innovation.
- Benefits: Flexible working, diverse culture, and opportunities for personal growth.
- Other info: Work in a dynamic environment with a focus on inclusivity.
- Why this job: Be a key player in shaping data strategies on a global scale.
- Qualifications: Experience in data sourcing and strong analytical skills required.
The predicted salary is between 50000 - 70000 £ per year.
EY is seeking a Data Acquisition Assistant Leader in Birmingham to act as the primary deputy to the Head of Data Acquisition. You will manage day-to-day operations and support the execution of a global external data sourcing strategy.
The ideal candidate will have significant data sourcing experience, strong analytical skills, and the ability to lead a virtual team while ensuring alignment with enterprise priorities.
This role offers a flexible working environment, promoting a diverse and inclusive culture.
Global Data Acquisition Deputy Lead in Birmingham employer: EY
EY is an exceptional employer, offering a dynamic and inclusive work culture in Birmingham that prioritises flexibility and diversity. Employees benefit from robust professional development opportunities and the chance to lead innovative data sourcing strategies on a global scale, making it a rewarding environment for those looking to grow their careers in data acquisition.
StudySmarter Expert Advice🤫
We think this is how you could land Global Data Acquisition Deputy Lead in Birmingham
✨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 EY!
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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 EY.
✨Apply Directly through Our Website
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We think you need these skills to ace Global Data Acquisition Deputy Lead in Birmingham
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 EY, 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 EY. 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 EY
✨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 EY!
✨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.