At a Glance
- Tasks: Analyse logistics data to solve real business challenges and drive impactful insights.
- Company: Join a forward-thinking team at a leading home improvement retailer.
- Benefits: Up to £50,000 salary, hybrid working, generous holiday, and great perks.
- Other info: Flexible work options and a commitment to diversity and inclusion.
- Why this job: Be part of a creative analytics community that values your ideas and innovation.
- Qualifications: Analytical skills and a passion for problem-solving in logistics.
The predicted salary is between 50000 - 50000 £ per year.
Open to Job Share, Full Time or Part Time - Permanent Southampton, Store Support Office Up to £50,000+ Pension + PMI + ShareSave + 6.6 weeks holiday + Hybrid Working (1 per week in the office).
We believe anyone can improve their home to make life better. From our Southampton Store Support office (SSO) we equip our stores, our people, and our whole business with everything it takes to help our millions of customers create a home they’ll love. Join us as a Logistics Analyst and you’ll be a big part of this.
The wider Analytics & Data Science team is growing to support more areas of the business. As part of this, we’re creating new analyst roles focused on Logistics. In this role you’ll work closely with stakeholders to understand real business challenges, translate them into analytical problems, and deliver insight that drives measurable impact—whether that’s improving availability, optimising stock flow, or enhancing operational efficiency.
You’ll be part of a collaborative, forward‑thinking analytics community that values curiosity, creativity, and continuous improvement. We encourage new ideas, experimentation, and smart risk‑taking to evolve how we use data to support better decisions across our operations.
We want to ensure that all employees, future employees and applicants to all Kingfisher companies are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression or sexual orientation. If you require any additional support or adjustments to help you make an application, please contact us.
Logistics Data Analyst in Eastleigh employer: B&q
B&Q Stirling is an excellent employer that prioritises both customer satisfaction and employee well-being. With competitive pay, an award-winning pension scheme, and generous holiday allowances, we foster a supportive work culture that encourages growth and teamwork. Join us in creating a positive shopping experience while developing your skills in a dynamic retail environment.
StudySmarter Expert Advice🤫
We think this is how you could land Logistics Data Analyst in Eastleigh
✨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 B&q!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Logistics Data Analyst at B&q.
✨Leverage Professional Networks
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 B&q.
✨Apply Directly through Our Website
When you find a suitable opening like Logistics Data Analyst at B&q, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Logistics Data Analyst in Eastleigh
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 B&q, 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 B&q. 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 B&q
✨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 B&q!
✨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.
