Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data to drive product decisions and improve user experience.
- Company: Join a leading e-commerce company focused on innovation and customer satisfaction.
- Benefits: Enjoy flexible working hours, remote work options, and exciting corporate perks.
- Why this job: Be part of a dynamic team that values data-driven insights and fosters a collaborative culture.
- Qualifications: 6+ years in analytics, strong SQL skills, and proficiency in Python or R required.
- Other info: Ideal for those passionate about data and eager to make an impact in e-commerce.
The predicted salary is between 48000 - 72000 £ per year.
Skills:
- 6+ years of relevant working experience in a data-intensive analytics role where you learned how to work with raw data, such as in Digital Analytics, Product Analytics, or Business Intelligence, preferably in e-commerce.
- BA/BS or Master's degree in a quantitative field such as Statistics, Computer Science, Mathematics, Data Science or similar.
- Strong proficiency with SQL-based languages, preferably in BigQuery or Redshift.
- Proficient in Python, R or similar programming languages for data transformation and analyses.
- Experience in ETL processes and data pipeline automation on large datasets.
- Experience in tracking and analysis of onsite user behaviour (for example using Google Analytics or a similar service) and strong knowledge of customer behavioural KPIs and how they can be defined.
- Strong knowledge and experience with A/B testing best practices.
- Experience working with a diverse range of stakeholders and excellent communication and presentation skills.
Digital Analytics/Product Analytics employer: Vallum Associates
Contact Detail:
Vallum Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Digital Analytics/Product Analytics
✨Tip Number 1
Network with professionals in the digital analytics field. Attend industry meetups, webinars, or conferences to connect with potential colleagues and learn about the latest trends. This can help you gain insights into what companies like us at StudySmarter are looking for.
✨Tip Number 2
Showcase your technical skills through personal projects or contributions to open-source initiatives. Having a portfolio that demonstrates your proficiency in SQL, Python, or R can set you apart from other candidates and give us a clear view of your capabilities.
✨Tip Number 3
Familiarise yourself with the tools and platforms we use, such as Google Analytics, BigQuery, or Redshift. Understanding these technologies will not only prepare you for the role but also show us your commitment to being a valuable team member from day one.
✨Tip Number 4
Prepare to discuss your experience with A/B testing and how you've used data to drive decisions in previous roles. Being able to articulate your thought process and results will demonstrate your analytical mindset and ability to work with stakeholders effectively.
We think you need these skills to ace Digital Analytics/Product Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 6+ years of experience in data-intensive analytics roles. Emphasise your proficiency with SQL, Python, and any relevant tools like BigQuery or Redshift. Showcase specific projects where you worked with raw data and automated ETL processes.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about Digital Analytics and how your background aligns with the job requirements. Mention your experience with A/B testing and tracking user behaviour, and how you've successfully communicated insights to stakeholders.
Highlight Relevant Skills: Clearly list your technical skills related to the role, such as SQL proficiency, programming languages, and experience with Google Analytics. Use bullet points for clarity and ensure you include any quantitative achievements that demonstrate your impact in previous roles.
Showcase Communication Skills: Since excellent communication is key for this role, provide examples in your application of how you've effectively presented data insights to diverse stakeholders. This could be through presentations, reports, or collaborative projects.
How to prepare for a job interview at Vallum Associates
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and R in detail. Bring examples of how you've used these languages in past projects, especially in relation to data transformation and analysis.
✨Demonstrate Your Understanding of User Behaviour
Familiarise yourself with key customer behavioural KPIs and be ready to explain how you've tracked and analysed user behaviour in previous roles. Mention any specific tools you've used, like Google Analytics.
✨Discuss A/B Testing Experience
Prepare to talk about your experience with A/B testing. Be ready to share specific examples of tests you've conducted, the outcomes, and how they influenced decision-making.
✨Communicate Effectively with Stakeholders
Highlight your experience working with diverse stakeholders. Practice explaining complex data insights in a clear and concise manner, as strong communication skills are crucial for this role.
