At a Glance
- Tasks: Support sales and planning by maintaining master data and driving forecasting processes.
- Company: Join James Fisher Defence, a leader in innovative defence solutions.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with diverse teams across multiple locations.
- Why this job: Make an impact by improving data quality and enabling automation in a dynamic environment.
- Qualifications: Strong analytical skills and experience with data management.
The predicted salary is between 29700 - 36300 £ per year.
James Fisher Defence (JFD) is seeking a SIOP Analyst in Inchinnan/Glasgow.
The role supports Sales, Bids, Planning, Supply Chain and Operations by maintaining master data, driving planning processes and ensuring forecasting data integrity.
The role involves improving data quality, enabling automation opportunities, and partnering with multiple locations and functions.
This is a hybrid role with three days in office required.
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SIOP & Planning Data Analyst (Hybrid) in Glasgow employer: JFD Global
At James Fisher, we pride ourselves on being an excellent employer, offering a dynamic work environment where innovation and collaboration thrive. Our inclusive culture fosters individual contributions and provides clear pathways for career development, ensuring that our employees are supported in their professional growth. With competitive benefits, including private medical insurance and a cycle to work scheme, along with the opportunity to work on meaningful projects that have a global impact, we are committed to creating a rewarding workplace for our engineering team.
StudySmarter Expert Advice🤫
We think this is how you could land SIOP & Planning Data Analyst (Hybrid) in Glasgow
✨Get Involved in Data Science Meetups
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We think you need these skills to ace SIOP & Planning Data Analyst (Hybrid) in Glasgow
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 JFD Global, 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 JFD Global. 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 JFD Global
✨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!
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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.
