At a Glance
- Tasks: Analyse data to uncover trends and support strategic decisions in merchandising.
- Company: Join a forward-thinking retail team that values collaboration and innovation.
- Benefits: Gain exposure to strategic projects and enhance your data skills.
- Other info: Dynamic environment with opportunities for career growth and development.
- Why this job: Make a real impact on sales and customer experience through data insights.
- Qualifications: Strong analytical skills, proficiency in Excel and SQL, and experience with Power BI.
The predicted salary is between 29700 - 36300 £ per year.
Join Our Team as an Insights Analyst We're looking for a data-driven and commercially minded Insights Analyst to join our Merchandising & Floor Planning team.
This is an exciting opportunity to play a key role in shaping product ranging and space planning decisions that directly impact sales performance, customer experience and business efficiency.
Working across Merchandising, Floor Planning, Trading and Store Format teams, you'll use data and insight to support strategic decision-making, create impactful reporting and help drive continuous improvement across the business.
If you enjoy turning complex datasets into actionable recommendations and thrive in a collaborative retail environment, we'd love to hear from you!
What You'll Be Doing As an Insights Analyst, you'll: Analyse and interpret large datasets to identify trends, opportunities and actionable business insights.
Develop and maintain reports, dashboards and visualisations to support merchandising, ranging and space planning decisions.
Partner with stakeholders across Trading, Merchandising, Floor Planning, Finance, Supply Chain, Marketing, Digital and Store Operations teams.
Support the development of self-service reporting solutions and help improve data accessibility across departments.
Ensure the accuracy, integrity and quality of range and merchandising data.
Translate complex information into clear recommendations for both technical and non-technical stakeholders.
Identify opportunities to improve reporting processes, increase efficiency and deliver scalable solutions.
Support the successful delivery of key merchandising and floor planning initiatives throughout the product lifecycle.
What We're Looking For Essential Skills & Experience Strong analytical skills with the ability to work confidently with large datasets.
Advanced proficiency in Microsoft Excel and SQL .
Experience building and maintaining dashboards and reports using Power BI .
Strong stakeholder management and communication skills.
Ability to present findings clearly and influence decision-making.
Experience working in a fast-paced, evolving business environment.
Qualification in Data Analytics, Computer Science, Engineering, or equivalent practical experience in data analysis.
Desirable Skills & Experience Experience working with Microsoft Fabric and Azure-based data environments.
Knowledge of data warehousing and data pipeline management.
Experience using Microsoft Office and Share Point platforms.
Exposure to retail, merchandising, floor planning, category management, or commercial analytics environments.
What Success Looks Like In this role, you'll help deliver: Improved sales and profitability through data-led recommendations.
Cost savings and operational efficiencies.
High levels of data accuracy and governance.
Time-saving reporting and analytical solutions.
Effective support of key trading, merchandising, and floor planning critical paths.
Why Join Us?
This is an opportunity to join a collaborative and forward-thinking team where your insights will directly influence commercial decisions across the business.
You'll work with a wide variety of stakeholders, gain exposure to strategic projects and help shape the future of data and reporting capabilities within the organisation.
Ready to make an impact through data?
Apply today and help us drive smarter decisions across our retail business!
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Insights Analyst in Deeside employer: All The Top Bananas
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StudySmarter Expert Advice🤫
We think this is how you could land Insights Analyst in Deeside
✨Get Involved in Data Science Meetups
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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 All The Top Bananas.
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We think you need these skills to ace Insights Analyst in Deeside
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 All The Top Bananas, 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 All The Top Bananas. 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 All The Top Bananas
✨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 All The Top Bananas!
✨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.
