At a Glance
- Tasks: Drive data quality and develop performance insights using Power BI and AI.
- Company: Safran Seats, a leader in innovative seating solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting opportunity for career advancement in a supportive environment.
- Why this job: Join a dynamic team and make a real impact on digital transformation in Purchasing.
- Qualifications: Experience in data analytics and familiarity with ERP/MRP systems required.
The predicted salary is between 31500 - 38500 £ per year.
Safran Seats in Cwmbran, Wales, is seeking a Purchasing Data Analyst to drive data quality, develop performance insights, and support digital transformation in Purchasing.
You will develop KPIs and dashboards, create Power BI reports, and collaborate with data owners to improve governance and data consistency across Purchasing systems.
A background in data analytics and ERP/MRP data is essential.
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Strategic Purchasing Data Analyst - Power BI & AI in Cwmbran employer: Safran S.A.
Safran Electronics & Defense is an exceptional employer located in Wolverhampton, offering a dynamic work environment that fosters professional growth and development. With competitive salaries, flexible working options, and a strong emphasis on employee well-being, including private medical insurance and a comprehensive health cash plan, the company prioritises its staff's needs. Employees benefit from a culture of continuous learning and collaboration, making it an ideal place for those seeking meaningful and rewarding careers in the aerospace and defense sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Strategic Purchasing Data Analyst - Power BI & AI in Cwmbran
✨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 Safran S.A.!
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We think you need these skills to ace Strategic Purchasing Data Analyst - Power BI & AI in Cwmbran
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 Safran S.A., 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 Safran S.A.. 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 Safran S.A.
✨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 Safran S.A.!
✨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.
