At a Glance
- Tasks: Analyse and interpret workforce data to enhance retail operations and decision-making.
- Company: Join a dynamic team at Card Factory, where your ideas truly matter.
- Benefits: Hybrid working model, competitive salary, and opportunities for personal growth.
- Other info: Great opportunity for career development in a supportive environment.
- Why this job: Make a real impact on retail planning while working with a close-knit team.
- Qualifications: Strong Excel skills and a curious mindset are essential.
The predicted salary is between 30000 - 40000 £ per year.
We’re excited to be building a brand‑new Resource & Optimisation team at cardfactory and we’re looking for a Retail Labour Planning Analyst who is a curious, analytical thinker, eager to question the norm and help shape how we use data to support our retail workforce planning. Joining a small, close‑knit team where your ideas genuinely matter, this is a brilliant opportunity to influence how the function operates, bring fresh thinking, and make a tangible impact on the way we work. Based at our Support Centre in Wakefield, this is a hybrid role (2–3 days a week on site) that gives you the opportunity to make a real impact across our stores.
What You’ll Be Doing
This role centres on managing, analysing, and interpreting workforce data to help drive accuracy, clarity, and smart decision‑making across our retail operations. It involves extracting and manipulating data, maintaining a high standard of accuracy, producing clear and actionable reporting, and identifying patterns or anomalies that need attention. There’s a strong focus on supporting forecasting activity, partnering with operational teams, resolving data‑related issues, and challenging existing processes to make them better. Curiosity is key — asking why, digging into the detail, and spotting opportunities to improve how we work will play a big part in your success.
What You’ll Bring
- Strong Excel capability, confident working with and manipulating data.
- A naturally curious mindset with a willingness to question existing processes.
- High levels of accuracy and attention to detail.
- Ability to turn complex data into clear, simple insight.
- Collaborative approach and readiness to contribute to a small, growing team.
Retail Labour Planning Analyst employer: Card Factory
At Card Factory, we pride ourselves on fostering a dynamic and inclusive work environment where every team member's ideas are valued. As a Retail Labour Planning Analyst in our new Resource & Optimisation team based in Wakefield, you'll enjoy the benefits of hybrid working, opportunities for professional growth, and the chance to make a significant impact on our retail operations. Join us to be part of a close-knit team that encourages curiosity and innovation, ensuring your contributions lead to meaningful change.
StudySmarter Expert Advice🤫
We think this is how you could land Retail Labour Planning Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and how they align with your own. This will help you tailor your responses and show that you're genuinely interested in being part of their team.
✨Tip Number 3
Practice your data storytelling skills! Since this role involves interpreting workforce data, be ready to explain how you've used data in the past to drive decisions. Use clear examples that highlight your analytical thinking and problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining our team and making an impact in the retail sector.
We think you need these skills to ace Retail Labour Planning Analyst
Some tips for your application 🫡
Show Your Curiosity:When writing your application, let your curiosity shine through! Share examples of how you've questioned the norm in previous roles or projects. We love candidates who are eager to dig into the details and explore new ideas.
Highlight Your Data Skills:Make sure to showcase your Excel prowess and any experience you have with data analysis. We want to see how you've turned complex data into actionable insights before, so don’t hold back on those examples!
Be Clear and Concise:In your application, clarity is key. Use straightforward language to explain your experiences and skills. We appreciate a well-structured application that gets straight to the point while still showing off your personality.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our new Resource & Optimisation team!
How to prepare for a job interview at Card Factory
✨Show Off Your Data Skills
Make sure to brush up on your Excel skills before the interview. Be ready to discuss specific examples of how you've used data analysis in the past, and think about how you can demonstrate your ability to manipulate data effectively.
✨Embrace Your Curiosity
Since curiosity is key for this role, prepare some thoughtful questions about their current processes. Show that you're eager to dig deeper and challenge the norm by asking how they currently handle workforce planning and where they see room for improvement.
✨Be Detail-Oriented
Highlight your attention to detail during the interview. You might want to share a story where your meticulous nature helped solve a problem or improve a process. This will show them that you understand the importance of accuracy in data management.
✨Collaborate and Connect
As this role involves working closely with a small team, be prepared to discuss your collaborative experiences. Share examples of how you've successfully worked with others to achieve a common goal, and express your enthusiasm for contributing to a close-knit team.
