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- Tasks: Analyse and interpret data to support retail teams in decision making and problem solving.
- Company: Join a leading retail brand known for innovation and collaboration.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact by improving customer experiences through data-driven insights.
- Qualifications: Strong analytical skills, experience with Excel, and excellent communication abilities.
- Other info: Dynamic team environment with opportunities to work across various departments.
The predicted salary is between 28800 - 48000 £ per year.
As a Retail Operations Analyst, you will process, analyse and interpret data to support the retail teams to create effective decision making and problem solving.
You will:
- Effectively analyse sales performance, customer and cost metrics using data to support teams.
- Use Power BI to analyse complex data sets and create engaging reports that provide teams actionable insight.
- Liaise with key stakeholders and produce event guidelines and comparative analysis for key trading events, from CCE, sale, to new space/brand launches.
- Propose and implement initiatives to improve the customer experience whilst driving efficiencies.
- Coach our teams to think differently about ways of working and make operational excellence the norm.
- Build a strong working relationship with the WFM analysts, collaborating to ensure that data supports scheduling efficiency and optimisation.
- Analyse and visualise data to give recommendations to key stakeholders.
- Utilise data to create a story/opportunity to better manage time and processes, allowing retail teams to focus on customer and team.
- Understand the needs of stakeholders and use data to allow them to articulate/prove what they are trying to achieve.
- Take an idea and make it happen with recommendations.
A Bit About You:
- Collaborative, working with key stakeholders to simplify ways of working, influencing where necessary.
- A great communicator with excellent influencing and negotiating skills, building professional, lasting relationships at all levels.
- Able to build strong working relationships across all areas, especially with Retail Ops teams, Finance, IT and B&M.
- Comfortable providing reports and analysis of financial position and forecast, with a strong working knowledge of Excel and management and exploitation of master data.
- Naturally pragmatic and solutions orientated, finding solutions in the data you analyse and giving clear guidance.
- Knowledgeable of Retek, Hyperion, Salesforce, Oracle, JRNI, Medallia, My Workday as well as MS Office including Teams and PowerPoint.
- A team player, supporting the wider Retail Management and Operations team as a whole.
- A trusted and respected colleague.
This guide represents a summary of the role; however, all team members are expected to be flexible in the work they undertake, which may change from time to time, according to the needs of the business.
Retail Operations Analyst employer: Selfridges
Contact Detail:
Selfridges Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Retail Operations Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees in the retail operations field on LinkedIn. Ask them about their experiences and any tips they might have for landing a role like the Retail Operations Analyst. You never know, they might even refer you!
✨Tip Number 2
Get your data skills sharp! Brush up on Power BI and Excel before your interviews. Being able to talk confidently about how you've used these tools to analyse data will definitely impress the hiring managers.
✨Tip Number 3
Showcase your collaboration skills! Prepare examples of how you've worked with different teams to solve problems or improve processes. This is key for a Retail Operations Analyst, so make sure you highlight your ability to build strong relationships.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of our team at StudySmarter.
We think you need these skills to ace Retail Operations Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Retail Operations Analyst role. Highlight your experience with data analysis, Power BI, and any relevant tools like Excel or Salesforce. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about retail operations and how you can contribute to our team. Be sure to mention specific examples of how you've used data to drive decision-making in the past.
Showcase Your Communication Skills: As a Retail Operations Analyst, you'll need to liaise with various stakeholders. In your application, demonstrate your communication skills by providing examples of how you've built relationships and influenced decisions in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Selfridges
✨Know Your Data Tools
Familiarise yourself with Power BI and other data analysis tools mentioned in the job description. Be ready to discuss how you've used these tools in past roles to analyse complex data sets and create actionable insights.
✨Understand Stakeholder Needs
Research the key stakeholders you might be working with. Think about how you can use data to support their goals and improve decision-making. Prepare examples of how you've successfully collaborated with different teams in the past.
✨Communicate Clearly
Practice explaining your data findings in a clear and engaging way. You might be asked to present a report or analysis during the interview, so make sure you can articulate your insights effectively and confidently.
✨Show Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in previous roles and how you used data to find solutions. Highlight your pragmatic approach and any initiatives you've proposed that improved processes or customer experiences.
