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For Companies At a Glance
- Tasks: Analyse user journeys and improve engagement through data insights.
- Company: Join a fast-growing entertainment membership disrupting the market with luxury prizes.
- Benefits: Enjoy a competitive salary, flexible working, and exclusive rewards.
- Why this job: Be part of an innovative team shaping the future of product development.
- Qualifications: 3+ years in analytics with strong technical skills and a passion for user behaviour.
- Other info: Work 3 days a week in Orpington and collaborate with diverse teams.
The predicted salary is between 42000 - 84000 £ per year.
Orpington (3 days a week) Up to £70,000 plus benefits
Passionate about understanding user behaviour and fueling product decisions? Join our rapidly growing, entertainment-focused membership disrupting the market. We offer daily luxury prize wins and exclusive rewards to a growing audience.
As a Product Data Analyst, you'll be key in analysing user journeys and identifying opportunities to improve engagement and drive product-led growth. Your Looker Studio and BigQuery expertise will create dashboards tracking vital product metrics and informing product development. Bring your innovative thinking and help shape our exciting future.
What you’ll do:
- Build BigQuery data models for product analysis, focusing on user behaviour.
- Create and maintain insightful product dashboards and reports in Looker Studio (acquisition, activation, retention, referral).
- Collaborate with Product, UX/UI, and Engineering to understand data needs.
- Analyse user interaction data to identify trends and insights for product improvement.
- Advise on product analytics best practices and KPIs.
- Ensure product data accuracy and reliability.
- Monitor and optimise product data models and dashboards.
- Stay updated on relevant product analytics tools.
- Support product teams in using analytics effectively.
What you’ll bring:
- Strong technical data analysis skills with a product focus.
- 3+ years analytics experience, providing data insights for product teams.
- Proactive, results-oriented, and able to drive data-informed decisions.
- Collaborative team player.
- Enthusiasm for understanding users and building a compelling product in a high-growth environment.
- Bonus: Experience with event tracking, R/Python, A/B testing analysis, user segmentation.
Please apply if interested!
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Analyst (Orpington)
✨Tip Number 1
Familiarise yourself with Looker Studio and BigQuery before your interview. Having hands-on experience or even a few projects under your belt can really set you apart, showing that you're not just familiar with the tools but can also leverage them effectively.
✨Tip Number 2
Prepare to discuss specific examples of how you've used data analysis to drive product decisions in your previous roles. Highlighting your ability to identify trends and insights will demonstrate your value as a Product Data Analyst.
✨Tip Number 3
Show your enthusiasm for user behaviour analysis by staying updated on the latest trends in product analytics. Mention any relevant articles, tools, or case studies during your conversation to illustrate your passion and commitment to the field.
✨Tip Number 4
Network with current employees or professionals in the industry through platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which you can use to tailor your approach when applying.
We think you need these skills to ace Product Data Analyst (Orpington)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data analysis, particularly focusing on user behaviour and product metrics. Use specific examples that demonstrate your expertise with Looker Studio and BigQuery.
Craft a Compelling Cover Letter: In your cover letter, express your passion for understanding user behaviour and how it drives product decisions. Mention your collaborative skills and how you can contribute to the team’s success in a high-growth environment.
Showcase Your Technical Skills: Clearly outline your technical skills related to data analysis, including any experience with R/Python, A/B testing, and event tracking. This will help demonstrate your capability to meet the job requirements.
Highlight Relevant Projects: If you have worked on projects that involved building dashboards or analysing user interaction data, be sure to include these in your application. Discuss the impact of your work on product development and user engagement.
How to prepare for a job interview at Placed
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Looker Studio and BigQuery in detail. Bring examples of dashboards you've created and how they impacted product decisions, as this will demonstrate your technical proficiency and relevance to the role.
✨Understand User Behaviour
Since the role focuses on user behaviour analysis, come equipped with insights or case studies that illustrate your understanding of user journeys. Discuss how you've previously identified trends and made recommendations based on user data.
✨Collaborate Effectively
Highlight your experience working with cross-functional teams, such as Product, UX/UI, and Engineering. Be ready to share specific examples of how collaboration has led to successful product outcomes, showcasing your team player mentality.
✨Stay Current with Analytics Tools
Demonstrate your knowledge of the latest product analytics tools and best practices. Mention any relevant experience with event tracking, A/B testing, or programming languages like R/Python, as this could set you apart from other candidates.
