At a Glance
- Tasks: Analyse user behaviour data to improve mobile products and drive new product direction.
- Company: Join a fast-growing global mobile advertising company backed by significant investment.
- Benefits: Enjoy a competitive salary of £50-60k plus a strong benefits package.
- Why this job: Be part of a dynamic team impacting millions of users and billions of ad impressions.
- Qualifications: Must have 3+ years' experience with BigQuery, Snowflake, and Tableau.
- Other info: Engage in A/B testing and contribute to actionable insights for product development.
The predicted salary is between 50000 - 60000 £ per year.
A fast-growing global mobile advertising company, back by a recent multi million-pound investment are looking to add a Product Analyst to their team. Their digital products are used by millions every month and help drive billions of ad impressions to content producers and advertisers globally.
As part of the insights and analytics team, you will work across their user behaviour data sets and analyse their mobile products to identify improvements, understand user journeys, drive the direction of new products, and engage in A/B testing.
With the role focused on identifying actionable insights from the data on their products, you will need to have a strong background of analysis of products.
Candidates will need 3+ years’ experience with; BigQuery, Snowflake and Tableau.
Salary for this role: £50-60k plus a strong benefits package.
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Product Analyst employer: Digital Ad-network
Contact Detail:
Digital Ad-network Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, like BigQuery, Snowflake, and Tableau. Consider taking online courses or tutorials to sharpen your skills in these areas, as demonstrating proficiency can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the mobile advertising industry. Attend relevant meetups or webinars where you can connect with current employees or others in similar roles. This can provide valuable insights into the company culture and expectations, which you can leverage during interviews.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data analysis to drive product improvements in your previous roles. Having concrete case studies ready will help you illustrate your experience and show how you can add value to their team.
✨Tip Number 4
Stay updated on the latest trends in mobile advertising and analytics. Being knowledgeable about current industry developments can help you engage in meaningful conversations during interviews and demonstrate your passion for the field.
We think you need these skills to ace Product Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with BigQuery, Snowflake, and Tableau. Use specific examples of how you've analysed products in the past and the impact of your insights.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about mobile advertising and how your analytical skills can contribute to the company's goals. Mention any relevant projects or experiences that demonstrate your ability to drive product improvements.
Showcase Your Analytical Skills: During the application process, be prepared to discuss your approach to data analysis. Consider including a brief case study or example of a successful A/B test you've conducted, detailing the methodology and results.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Product Analyst role.
How to prepare for a job interview at Digital Ad-network
✨Know Your Data Tools
Make sure you're well-versed in BigQuery, Snowflake, and Tableau. Be prepared to discuss your experience with these tools and how you've used them to derive insights from data in previous roles.
✨Understand User Behaviour
Familiarise yourself with user behaviour analysis. Be ready to share examples of how you've identified user journeys and made recommendations for product improvements based on your findings.
✨A/B Testing Insights
Since the role involves A/B testing, come equipped with examples of tests you've conducted. Discuss what you learned from these tests and how they influenced product decisions.
✨Showcase Your Analytical Mindset
Demonstrate your analytical thinking by discussing a complex problem you've solved using data analysis. Highlight your thought process and the impact of your solution on the product or business.