At a Glance
- Tasks: Drive AI-enabled change in logistics and shape requirements for agile delivery.
- Company: Cencora, a leader in 3PL operations across Europe.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team with exciting projects and career advancement potential.
- Why this job: Be at the forefront of AI transformation and make a real impact in logistics.
- Qualifications: Experience in data analytics and a passion for tech and collaboration.
The predicted salary is between 35000 - 45000 £ per year.
Cencora is seeking a Transformation Business Analyst to drive AI-enabled change across our 3PL operations in Europe.
You will bridge logistics, tech, and data analytics, shaping requirements and guiding agile delivery.
The role focuses on AI/automation opportunities, Po C ownership, and cross-functional collaboration with data science, engineering, and operations teams to realise measurable benefits.
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AI & Digital Transformation Analyst (3PL) employer: Micro Technologies
PhlexGlobal offers a dynamic and inclusive work environment where innovation thrives, making it an excellent employer for those passionate about IT strategy and cloud operations. With a focus on employee growth, the company provides ample opportunities for professional development and collaboration across global teams, ensuring that every team member can contribute meaningfully to impactful projects. Additionally, the remote nature of this role allows for flexibility while working with cutting-edge technologies in a supportive culture that values compliance and operational excellence.
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We think this is how you could land AI & Digital Transformation Analyst (3PL)
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We think you need these skills to ace AI & Digital Transformation Analyst (3PL)
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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Micro Technologies. 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!
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✨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.
