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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: Shape the future of product development in a dynamic, innovative environment.
- Qualifications: 3+ years in analytics with strong technical skills and a collaborative spirit.
- Other info: Work 3 days a week in Orpington, with opportunities for remote work.
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!
Product Data Analyst (Orpington) employer: Placed
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 a solid understanding of these tools will not only boost your confidence but also demonstrate your commitment to the role and your ability to hit the ground running.
✨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 experience with user behaviour analysis and how it led to tangible improvements will make you stand out.
✨Tip Number 3
Showcase your collaborative skills by thinking of instances where you've worked closely with product, UX/UI, or engineering teams. Being able to illustrate your teamwork will be crucial, as this role requires strong collaboration across departments.
✨Tip Number 4
Stay updated on the latest trends in product analytics and be ready to discuss them. This shows your enthusiasm for the field and your proactive approach to staying informed, which is essential in a high-growth environment like ours.
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 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. Highlight specific projects where you've built data models or dashboards, and be ready to explain the impact of your work on product decisions.
✨Demonstrate Your Analytical Thinking
During the interview, share examples of how you've analysed user behaviour to drive product improvements. Discuss any trends or insights you've identified in past roles and how they influenced product strategies.
✨Collaborate Effectively
Emphasise your ability to work with cross-functional teams, such as Product, UX/UI, and Engineering. Prepare to discuss how you've collaborated in the past to understand data needs and deliver actionable insights.
✨Stay Updated on Industry Trends
Show your enthusiasm for the role by discussing recent developments in product analytics tools and methodologies. This demonstrates your commitment to continuous learning and your proactive approach to staying relevant in the field.
