At a Glance
- Tasks: Lead product analytics for CRM Campaigns, uncovering opportunities through deep analysis.
- Company: Global software company based in London with a fun, collaborative culture.
- Benefits: Competitive salary, bonus, and great benefits.
- Why this job: Make an impact by guiding product improvements through data-driven insights.
- Qualifications: Over 4 years of experience, strong SQL skills, and a passion for user behaviour analysis.
The predicted salary is between 43200 - 72000 £ per year.
A global software company in London is seeking an experienced Data Analyst to lead product analytics for their CRM Campaigns product. You will uncover opportunities through deep dive analysis, create dashboards to track performance, and communicate insights to guide product improvements.
The ideal candidate has over 4 years of experience, strong SQL skills, and a passion for analyzing user behavior. This role offers a competitive salary, bonus, and benefits in a fun, collaborative environment.
Campaigns Product Analyst: Data-Driven Growth in London employer: monday.com
Contact Detail:
monday.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Campaigns Product Analyst: Data-Driven Growth in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, dashboards, and any insights you've uncovered. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL skills and being ready to discuss your analytical process. Practice common interview questions and think about how you can demonstrate your passion for user behaviour analysis.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Campaigns Product Analyst: Data-Driven Growth in London
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL expertise in your application. We want to see how you’ve used it to drive insights and improve products in your previous roles.
Be Data-Driven: Since this role is all about data analysis, share specific examples of how your analytical skills have led to successful outcomes. We love seeing numbers that back up your achievements!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the job description. We’re looking for someone who understands our CRM Campaigns product and can communicate insights effectively.
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 from us!
How to prepare for a job interview at monday.com
✨Know Your SQL Inside Out
Since the role requires strong SQL skills, make sure you brush up on your SQL knowledge. Be prepared to answer technical questions or even solve problems on the spot. Practising common SQL queries and understanding how to manipulate data will give you a solid edge.
✨Showcase Your Analytical Mindset
Prepare examples of past projects where you've used data analysis to drive product improvements. Highlight specific metrics you tracked and how your insights led to actionable changes. This will demonstrate your ability to uncover opportunities through deep dive analysis.
✨Dashboards Are Your Best Friend
Familiarise yourself with dashboard tools that are relevant to the role. If you have experience creating dashboards, be ready to discuss the tools you used and the impact they had on tracking performance. Showing that you can visualise data effectively will impress the interviewers.
✨Communicate Clearly and Confidently
As you'll need to communicate insights to guide product improvements, practice explaining complex data in simple terms. Use clear examples and avoid jargon. This will show that you can bridge the gap between data and decision-making, which is crucial for this role.