Commercial Data Analyst – Hybrid, Vendor Insights in Eastleigh

Commercial Data Analyst – Hybrid, Vendor Insights in Eastleigh

Eastleigh Full-Time 29000 - 33000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Support the Vendor Development Team with data analysis and reporting.
  • Company: Join B&Q plc, a leading home improvement retailer.
  • Benefits: Enjoy a competitive salary, bonus, pension, and 6.6 weeks holiday.
  • Other info: Hybrid working model with three days in the office.
  • Why this job: Make an impact by ensuring accuracy in commercial metrics.
  • Qualifications: Strong analytical skills and attention to detail required.

The predicted salary is between 29000 - 33000 £ per year.

B&Q plc is looking for a team member to support the Vendor Development Team from their Southampton Store Support Office. This role involves assisting in data analysis and reporting, maintaining databases, and ensuring accuracy in our commercial metrics.

With a hybrid working model, candidates will work three days a week in the office. A competitive salary of £29,000-£33,000 plus benefits including bonus, pension, and 6.6 weeks of holiday are offered.

Commercial Data Analyst – Hybrid, Vendor Insights in Eastleigh employer: B&Q plc

B&Q plc is an excellent employer that fosters a collaborative and innovative work culture, particularly within the Vendor Development Team at our Southampton Store Support Office. With a hybrid working model, employees enjoy a balanced work-life dynamic, alongside competitive benefits such as a generous holiday allowance, bonus opportunities, and a supportive environment for professional growth and development.

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Contact Details:

B&Q plc Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Commercial Data Analyst – Hybrid, Vendor Insights 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 plc!

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 Commercial Data Analyst – Hybrid, Vendor Insights at B&Q plc.

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 plc.

Apply Directly through Our Website

When you find a suitable opening like Commercial Data Analyst – Hybrid, Vendor Insights at B&Q plc, 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 Commercial Data Analyst – Hybrid, Vendor Insights in Eastleigh

Data Analysis
Reporting
Database Management
Attention to Detail
Commercial Metrics Accuracy
Team Collaboration
Hybrid Working Adaptability

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 plc, 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 plc. 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 plc

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 plc!

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.