At a Glance
- Tasks: Analyse ecommerce data to drive growth and deliver strategic insights.
- Company: Sphere Digital Recruitment, a leader in digital talent solutions.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional development.
- Other info: Join a dynamic team focused on innovation and growth.
- Why this job: Make a real impact on ecommerce performance while collaborating with diverse teams.
- Qualifications: Experience in data analysis, SQL, and Python skills required.
The predicted salary is between 60000 - 75000 Β£ per year.
Sphere Digital Recruitment is seeking an Commerce Analytics Associate Director based in the UK with a hybrid working pattern (4 days in-office).
The role focuses on analysing ecommerce and retail media data to drive growth and performance, delivering strategic insights and building scalable analytics solutions.
You will collaborate with data, technology and commercial teams, use SQL and Python to model data and present recommendations to senior stakeholders.
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Commerce Analytics Lead β Growth & Insights (Hybrid UK) in London employer: Sphere Digital Recruitment
As a leading player in the GRC and Risk sector, our company offers an exceptional work environment that fosters collaboration and innovation. With a strong focus on employee growth, we provide ample opportunities for career advancement while supporting a hybrid working model from our vibrant London office. Join us to be part of a dynamic team where your contributions are valued, and you can truly shape your success.
Contact Details:
Sphere Digital Recruitment Recruitment Team
StudySmarter Expert Adviceπ€«
We think this is how you could land Commerce Analytics Lead β Growth & Insights (Hybrid UK) in London
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We think you need these skills to ace Commerce Analytics Lead β Growth & Insights (Hybrid UK) in London
Some tips for your application π«‘
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Donβt forget to include links to any GitHub repositories if applicable!
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β¨Brush Up on Your Statistics
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