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- Tasks: Analyse customer behaviour and support product decisions through data insights.
- Company: Join Moonpig, a leader in the online gifting revolution.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for growth.
- Other info: Collaborative environment with a focus on innovation and creativity.
- Why this job: Make a real impact by shaping user experiences with data-driven insights.
- Qualifications: Experience with SQL, Python, and a passion for data analysis.
The predicted salary is between 35000 - 45000 £ per year.
Moonpig Group leads the online gifting revolution, home to Moonpig, Greetz, Red Letter Days, and Buyagift. They help people create personalized moments that spark joy and keep loved ones connected. This role works closely with Product, Design, and Engineering teams to explore customer behavior and support experimentation efforts.
As a Data Analyst (Product Analytics) at Moonpig, you will support product decisions by analyzing performance and spotting user behavior patterns. You will contribute to experimentation by designing, running, and analyzing A/B tests with clear results. Additionally, you will uncover drivers of customer behavior like conversion and retention using SQL, Python, and statistical methods.
Posted 1 day ago London, United Kingdom Moonpig Data Analyst (Product Analytics) employer: Experimentation Jobs
Contact Detail:
Experimentation Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Posted 1 day ago London, United Kingdom Moonpig Data Analyst (Product Analytics)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Moonpig. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! If you’ve got experience with SQL, Python, or A/B testing, make sure to highlight that in conversations. Share examples of how you've used these tools to drive results.
✨Tip Number 3
Prepare for interviews by understanding Moonpig’s products and customer behaviour. Think about how your analysis could help improve their offerings and be ready to discuss your ideas.
✨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 take that extra step.
We think you need these skills to ace Posted 1 day ago London, United Kingdom Moonpig Data Analyst (Product Analytics)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role at Moonpig. Highlight your experience with SQL, Python, and any relevant statistical methods. We want to see how your skills align with what we do!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share why you're excited about the role and how you can contribute to our product decisions. Let us know how your past experiences have prepared you for this position.
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical skills. Mention any A/B testing you've done or insights you've uncovered from data analysis. We love seeing how you think and approach problems!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Experimentation Jobs
✨Know Your Data Tools
Make sure you brush up on SQL and Python before the interview. Be ready to discuss how you've used these tools in past projects, especially in analysing user behaviour or running A/B tests. It’s a great way to show you’re not just familiar with the tools but can apply them effectively.
✨Understand Moonpig's Mission
Dive into Moonpig's products and their approach to personalised gifting. Understanding their mission to create joyful moments will help you align your answers with their values. Think about how your skills can contribute to enhancing customer experiences and driving engagement.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to product analytics. Practice articulating your thought process when it comes to analysing data and making product recommendations. This shows your analytical mindset and problem-solving skills.
✨Show Your Collaborative Spirit
Since this role involves working closely with Product, Design, and Engineering teams, be prepared to discuss your experience in cross-functional collaboration. Share examples of how you’ve worked with different teams to achieve common goals, highlighting your communication skills and adaptability.