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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 work schedule, and exciting corporate perks.
- 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 collaborative spirit.
- Other info: Opportunity to work with cutting-edge tools like Looker Studio and BigQuery.
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:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Analyst
✨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 preparing examples of how you've worked with cross-functional teams, such as Product, UX/UI, and Engineering. This will illustrate your ability to communicate effectively and understand diverse data needs.
✨Tip Number 4
Stay updated on the latest trends in product analytics and be ready to discuss them during your interview. Demonstrating your enthusiasm for continuous learning and innovation will resonate well with our team.
We think you need these skills to ace Product Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights 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 provide examples of how you've worked with cross-functional teams to achieve results.
Showcase Technical Skills: Clearly outline your technical skills related to data analysis, including any experience with event tracking, R/Python, and A/B testing. Highlight how these skills have contributed to product improvements in your previous roles.
Demonstrate Results Orientation: Provide concrete examples of how your data insights have led to actionable changes or improvements in product performance. This will show your proactive approach and ability to drive data-informed decisions.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your experience with BigQuery and Looker Studio in detail. Bring examples of dashboards you've created or data models you've built, as this will demonstrate your technical proficiency and how it can benefit the company.
✨Understand User Behaviour
Since the role focuses on user behaviour analysis, be ready to talk about specific instances where you've successfully identified trends or insights that led to product improvements. This shows your passion for understanding users and your ability to drive product-led growth.
✨Collaborate Effectively
Highlight your experience working with cross-functional teams, such as Product, UX/UI, and Engineering. Share examples of how you’ve collaborated to meet data needs, as teamwork is crucial in this role.
✨Stay Updated on Analytics Tools
Demonstrate your commitment to staying current with product analytics tools and best practices. Mention any recent tools or methodologies you've learned about, as this shows your proactive approach and enthusiasm for continuous improvement.
