At a Glance
- Tasks: Manage data migration workflows and support onboarding specialists for Shopify.
- Company: Join Loop, a dynamic company focused on seamless merchant experiences.
- Benefits: Enjoy competitive pay, flexible hours, and opportunities for skill development.
- Other info: Fast-paced environment with great potential for career advancement.
- Why this job: Be at the forefront of data migration and make a real difference for merchants.
- Qualifications: 2+ years experience, Excel and Python skills, and Shopify knowledge required.
The predicted salary is between 50000 - 60000 £ per year.
Loop is hiring a Data Migration Specialist to own merchant onboarding and subscription data migration.
You will manage end-to-end migration workflows, support onboarding specialists, troubleshoot issues, and maintain high data accuracy with zero-error execution.
The role blends backend operations, basic scripting, Shopify know-how, testing and documentation.
Ideal profile includes at least 2 years of experience, proficiency in Excel and Python, and hands-on experience with Shopify or similar
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Data Migration Specialist — Shopify Onboarding in Glasgow employer: LoopWork
At Loop, we pride ourselves on being an exceptional employer that fosters a culture of high agency and impact-driven work. Our commitment to employee growth is evident through our rapid scaling and the opportunity for team members to contribute directly to our ambitious goals, all while enjoying a positive and collaborative work environment. Located in a vibrant e-commerce hub, we offer unique advantages such as access to cutting-edge technology and a dynamic market, making it an exciting place for those looking to make a meaningful impact in the subscription management space.
StudySmarter Expert Advice🤫
We think this is how you could land Data Migration Specialist — Shopify Onboarding in Glasgow
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like LoopWork!
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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 LoopWork.
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We think you need these skills to ace Data Migration Specialist — Shopify Onboarding in Glasgow
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 LoopWork, 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 LoopWork. 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 LoopWork
✨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 LoopWork!
✨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.
