At a Glance
- Tasks: Analyse data to enhance reporting and deliver insights for smarter business decisions.
- Company: Join B&M Retail, a dynamic company focused on innovation and teamwork.
- Benefits: Enjoy discounts in stores, a colleague portal, and more perks!
- Other info: Office-based role with opportunities for growth in a diverse environment.
- Why this job: Make an impact by driving performance through data analysis in retail.
- Qualifications: Strong analytical skills, experience with SQL and Power BI, and retail knowledge preferred.
The predicted salary is between 36000 - 60000 £ per year.
Overview
We\'re seeking a data-focused and detail-driven Data Analyst to join our Retail Operations Team. This is an exciting opportunity for someone with a strong understanding of how retail operates, to play a key role in enhancing our reporting processes, driving consistency across documentation, and delivering insights that support smarter business decisions.
You’ll be instrumental in providing accurate reporting and analysis that helps the business understand store performance, efficiency, and operational effectiveness. This position is office-based, 5 days a week in Speke, Liverpool.
Responsibilities
- Collecting and managing data to produce regular reports, dashboards, and visualisations to highlight trends, risks, opportunities.
- Produce reports and presentations using complex data and display them in basic form.
- Recommend corrective action, when necessary, based on acquired knowledge and observation.
- Be proficient with presentation making in a creative way and be able to use your creative side to facilitate business essential reporting.
- Helping shape and refine reporting tools and processes, driving accurate and timely information for leadership review.
Qualifications
- Retail experience and a strong understanding of store operations and the retail environment.
- Advanced Microsoft Power BI skills, with the ability to build reports and create engaging visual dashboards.
- Proficiency in Powerpoint, capable of producing polished presentations and compelling visuals.
- Excellent analytical abilities, with a track record of generating actionable insights and presenting findings to senior stakeholders.
- Strong communication and collaboration skills, enabling you to work effectively across all levels of the business.
Benefits
We offer you a range of great benefits including discount in our stores, a colleague portal offering discount for numerous retailers, hospitality & much more! Check out our full benefits here - https://careers.bmstores.co.uk/our-bm-benefits/
If this role excites you and you think you’ve got what it takes, we want to hear from you!
B&M Retail are an equal opportunity employer. We are committed to creating an inclusive and diverse environment for all colleagues.
Data Analyst - Retail in Liverpool employer: B&M Retail Limited
B&M Retail is an excellent employer for those seeking a dynamic and supportive work environment in the retail sector. With a strong focus on employee growth, we offer comprehensive benefits including store discounts and access to a colleague portal with various retailer discounts. Our inclusive culture encourages creativity and collaboration, making it an ideal place for data analysts to thrive and contribute to meaningful business insights.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Retail in Liverpool
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We think you need these skills to ace Data Analyst - Retail in Liverpool
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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How to prepare for a job interview at B&M Retail Limited
✨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.
