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For Companies At a Glance
- Tasks: Drive subscription growth and analyse audience engagement using data analytics.
- Company: Leading global sports content company with a focus on innovation.
- Benefits: Hybrid work options and opportunities for career development.
- Why this job: Make an impact in the sports industry by enhancing user experiences with data-driven insights.
- Qualifications: 3+ years in data analytics, SQL proficiency, and strong communication skills.
- Other info: Collaborative environment with a focus on personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading global sports content company is looking for a Product Analyst to drive subscription, engagement, and audience analytics. You'll enhance paywall performance and utilize AI for personalized experiences. Collaborating with Product teams, you'll design A/B tests, analyze user funnels, and provide insights for strategy improvement.
Ideal candidates will have:
- 3+ years of experience in data analytics
- Proficiency in SQL
- Strong communication skills
This role offers hybrid work options and career development opportunities.
Data Product Analyst: Growth & Subscriptions employer: 90min
Contact Detail:
90min Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Analyst: Growth & Subscriptions
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in data analytics or at companies you admire. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially any A/B tests or user funnel analyses you've done. This will not only demonstrate your expertise but also make you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on SQL and data analytics concepts. We recommend practising common interview questions and even doing mock interviews with friends. Confidence is key, so know your stuff!
✨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 about their job search!
We think you need these skills to ace Data Product Analyst: Growth & Subscriptions
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics, especially with SQL. We want to see how your skills align with the role of a Data Product Analyst, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about driving subscription and engagement analytics. We love seeing candidates who can connect their personal experiences with our mission at StudySmarter.
Showcase Your Communication Skills: Since strong communication is key for this role, make sure your application reflects that. Whether it’s through clear language in your CV or a well-structured cover letter, we want to see how you can convey complex ideas simply and 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’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter.
How to prepare for a job interview at 90min
✨Know Your Data Inside Out
Make sure you brush up on your data analytics skills, especially SQL. Be prepared to discuss how you've used data to drive decisions in previous roles. Think of specific examples where your insights led to improved performance or engagement.
✨Showcase Your A/B Testing Experience
Since the role involves designing A/B tests, come ready to talk about your past experiences with testing strategies. Share any successful tests you've conducted and the impact they had on user engagement or subscription growth.
✨Communicate Clearly and Confidently
Strong communication skills are a must for this position. Practice explaining complex data insights in simple terms. You might be asked to present your findings, so think about how you can make your points clear and engaging.
✨Understand the Company’s Product and Audience
Do your homework on the company’s products and their audience. Familiarise yourself with their current subscription model and think about how you could enhance it using AI. This will show your genuine interest and help you stand out as a candidate.
