At a Glance
- Tasks: Analyse data and create insightful reports using Power BI and Excel.
- Company: GKN Aerospace, a leader in aerospace manufacturing with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting opportunity for career advancement in a thriving industry.
- Why this job: Join a dynamic team and make a real impact on manufacturing operations.
- Qualifications: Experience with data analysis and proficiency in Power BI and Excel.
The predicted salary is between 31500 - 38500 £ per year.
GKN Aerospace is expanding its East Cowes operation with a Business Data Analyst for the Operations function.
The role focuses on collecting, organizing and interpreting data, developing tools using Power BI and Excel to support decision making across the plant.
The analyst will generate regular reports, monitor KPIs and contribute to process improvements, governance, and data quality initiatives within manufacturing operations.
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Operations Data Analyst - Power BI & KPI Insights in Cowes employer: GKN
GKN Aerospace is an exceptional employer, offering a dynamic and collaborative work environment that fosters innovation and creativity in the aerospace industry. With a strong commitment to sustainability and employee development, we provide competitive salaries, generous benefits, and opportunities for professional growth, all while being part of a diverse team that values every individual's contribution. Join us in Bristol and be at the forefront of reimagining air travel, where your expertise can truly make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Operations Data Analyst - Power BI & KPI Insights in Cowes
✨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 GKN!
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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 GKN.
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We think you need these skills to ace Operations Data Analyst - Power BI & KPI Insights in Cowes
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 GKN, 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 GKN. 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 GKN
✨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 GKN!
✨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.
