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- Tasks: Analyse e-commerce returns data and create insightful monthly reports.
- Company: Fast-growing apparel e-commerce business focused on data-driven decisions.
- Benefits: Flexible hours, remote work, and valuable experience in data analytics.
- Why this job: Join a dynamic team and make an impact on business performance through data insights.
- Qualifications: Experience in data analysis, Microsoft Excel, and familiarity with Shopify reports.
- Other info: Contract role for 1-3 months with potential for future opportunities.
The predicted salary is between 1040 - 1560 £ per month.
Hello, I am looking for a data analytics talent to pull data from our returns and exchanges data from our Apparel e-commerce business and summarise it all into easy month to month trends and costs, any red flags, % summary.
Ideally you have done Shopify e-commerce data reports before.
Contract duration of 1 to 3 months, with 30 hours per week.
Mandatory skills:- Data Analysis
- Microsoft Excel
- Data Entry
- Financial Accounting
Data analysis for e-commerce returns employer: FreelanceJobs
Contact Detail:
FreelanceJobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data analysis for e-commerce returns
✨Tip Number 1
Network like a pro! Reach out to people in the e-commerce and data analysis space. LinkedIn is your best mate here. Join groups, participate in discussions, and don’t be shy to ask for advice or referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous data analysis projects, especially those related to e-commerce. If you’ve worked with Shopify data before, highlight that experience to catch their eye.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions. Be ready to discuss how you’ve identified trends and red flags in past roles. Practice makes perfect, so run through some mock interviews with friends!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data analysis for e-commerce returns
Some tips for your application 🫡
Show Off Your Data Skills: Make sure to highlight your experience with data analysis, especially in e-commerce. If you've worked with Shopify data reports before, let us know! We want to see how you can pull insights from returns and exchanges.
Be Clear and Concise: When summarising your experience, keep it straightforward. Use bullet points if you can, and focus on the key skills we’re looking for, like Microsoft Excel and financial accounting. We appreciate clarity!
Tailor Your Application: Don’t just send a generic application. Take a moment to tailor your CV and cover letter to our job description. Mention specific projects or experiences that relate to analysing e-commerce data and spotting trends.
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 don’t miss out on any important updates. Plus, we love seeing applications come through our platform!
How to prepare for a job interview at FreelanceJobs
✨Know Your Data Tools
Make sure you’re well-versed in the data analysis tools mentioned in the job description, especially Microsoft Excel. Brush up on your skills with pivot tables, VLOOKUPs, and data visualisation techniques to impress during the interview.
✨Showcase Relevant Experience
If you've worked with Shopify or similar e-commerce platforms before, be ready to discuss specific projects. Prepare examples of how you’ve pulled data, identified trends, and summarised findings in a way that’s easy to understand.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific data challenges. Think about potential red flags in returns data and how you would analyse them. Practising these scenarios can help you articulate your thought process clearly.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the current data processes they have in place or what specific metrics they focus on. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
