At a Glance
- Tasks: Lead analytics projects to enhance digital experiences for Tu Clothing stakeholders.
- Company: Join Sainsbury's, a leading supermarket with a focus on innovation.
- Benefits: Enjoy flexible working, discounts, pensions, and performance bonuses.
- Other info: Opportunity to lead a team and grow within a dynamic environment.
- Why this job: Make a real impact in eCommerce while developing your analytical skills.
- Qualifications: Strong experience in eCommerce analytics and stakeholder management required.
The predicted salary is between 60000 - 75000 £ per year.
Sainsbury's Supermarkets Ltd is seeking a Lead Analyst for its Data & Analytics team. This role will leverage data to enhance digital experiences for stakeholders in Tu Clothing. You will be crucial in managing analytics projects, building partnerships, and overseeing an Associate Analyst.
The ideal candidate will have strong experience in eCommerce analytics and stakeholder management.
Benefits include flexible working, discounts, pensions, and performance-related bonuses.
Senior Analytics Lead - Digital Product & Ecommerce (Hybrid) employer: Sainsbury's Supermarkets Ltd
Sainsbury's Supermarkets Ltd is an excellent employer, offering a dynamic work culture that values innovation and collaboration within its Data & Analytics team. Employees benefit from flexible working arrangements, generous discounts, and robust pension schemes, alongside opportunities for professional growth and development in the thriving eCommerce sector. With a focus on enhancing digital experiences, this role provides a meaningful chance to make a significant impact while enjoying a supportive and rewarding workplace environment.
Contact Details:
Sainsbury's Supermarkets Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Lead - Digital Product & Ecommerce (Hybrid)
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We think you need these skills to ace Senior Analytics Lead - Digital Product & Ecommerce (Hybrid)
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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. Don’t forget to include links to any GitHub repositories if applicable!
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