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- Tasks: Manage and analyse data to support e-commerce operations and website content.
- Company: Leading e-commerce company in Manchester with a focus on innovation.
- Benefits: Competitive salary, referral bonuses, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape data processes that drive business success.
- Qualifications: Advanced Excel skills and experience in e-commerce or retail.
- Other info: Exciting projects and a chance to automate and streamline data management.
The predicted salary is between 30000 - 45000 £ per year.
Marketing Data Manager with extensive experience in Excel, VBA, Power Query & Power BI is required by a leading e-commerce company in Manchester. You should have retail / e-commerce experience. Any experience building data pipelines or website pricing data would be a bonus.
This role is ideal for someone who thrives on data management and enjoys working with spreadsheets, while also supporting website administration and content management tasks.
Skills required:
- Essential:
- Advanced Excel skills (formulas, pivot tables, data analysis).
- VBA, Power Query & Power BI experience ideally.
- Ecommerce or retail / product pricing experience.
- Familiarity with Power Query, basic formulas, auditing, or light data transformation workflows.
- Interest in learning about data pipelines, integrations and automation.
- Experience updating website content within a CMS (e.g., editing product pages, refreshing content, managing assets).
- Python or SQL experience.
Duties include:
- Automate data processes where possible using advanced Excel functions or VBA.
- Use advanced Excel skills (VLOOKUP/XLOOKUP, INDEX/MATCH, pivot tables, Power Query, data validation, conditional logic) to transform, clean and prepare data.
- Maintain and update product pricing across multiple platforms and channels.
- Build and manage complex Excel spreadsheets for pricing analysis, margin tracking, and promotional planning.
- Ensure data accuracy and consistency across product catalogues and pricing files.
- Manage product, pricing and content data for multiple regions and online channels.
- Identify and correct errors, inconsistencies and gaps in product information.
You will also:
- Support the creation of streamlined data processes, so updates made in one area flow cleanly into others.
- Assist with mapping data between systems (e.g., ERP, PIM, CMS, marketplace feeds).
- Help maintain master data files and support the development of a "single source of truth."
This is a fantastic opportunity for someone who enjoys variety and wants to play a key role in the ecommerce team. You'll have the chance to shape processes and work on exciting data projects that drive business growth.
They are looking to pay a starting salary of between £35,000 - £45,000 + Benefits.
Marketing Data Manager - Manchester employer: Circle Recruitment
Contact Detail:
Circle Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Data Manager - Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the e-commerce and data management fields on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Excel, VBA, and Power BI projects. If you’ve built any data pipelines or worked on website pricing data, include those too. This will give potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on common data management scenarios. Think about how you would automate processes or ensure data accuracy. Practising these responses will help you feel more confident when it’s your turn to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and take the initiative to connect with us directly.
We think you need these skills to ace Marketing Data Manager - Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your advanced Excel skills and any experience with VBA, Power Query, and Power BI. We want to see how your background in e-commerce or retail aligns with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Data Skills: When writing your application, emphasise your experience with data management and automation. Mention specific examples of how you've used Excel functions or built data pipelines in previous roles. We love seeing real-world applications of your skills!
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points for key achievements and skills to make it easy for us to spot what makes you a great fit for the Marketing Data Manager position. Clarity is key!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to attach your CV and cover letter seamlessly. Let’s get your application in!
How to prepare for a job interview at Circle Recruitment
✨Master Your Excel Skills
Make sure you brush up on your advanced Excel skills before the interview. Be ready to discuss how you've used formulas, pivot tables, and Power Query in past roles. Practising some real-life scenarios can help you articulate your experience better.
✨Showcase Your E-commerce Knowledge
Since this role is focused on e-commerce, be prepared to talk about your experience in this area. Think of specific examples where you've managed product pricing or worked with data pipelines. This will show that you understand the industry's nuances.
✨Demonstrate Your Automation Skills
Highlight any experience you have with automating data processes using VBA or other tools. If you can share a success story where automation improved efficiency, it’ll definitely impress the interviewers.
✨Prepare for Data Management Questions
Expect questions around data accuracy and consistency. Prepare to discuss how you've identified and corrected errors in data sets. Being able to explain your approach to maintaining a 'single source of truth' will show your commitment to quality data management.