At a Glance
- Tasks: Lead analytics projects and coach junior analysts while translating data into impactful narratives.
- Company: Join Sainsbury's, a leading name in retail with a focus on data-driven decisions.
- Benefits: Competitive salary, career development opportunities, and a collaborative work environment.
- Other info: Dynamic role with opportunities to shape the future of retail analytics.
- Why this job: Make a real impact by influencing strategic choices with your analytical skills.
- Qualifications: Strong SQL and Python skills, plus experience in data analysis and storytelling.
The predicted salary is between 45000 - 55000 £ per year.
Sainsbury's London is seeking a Lead Analyst in the Data & Analytics function to own end-to-end analytics projects, coach junior analysts, and translate complex data into clear narratives that drive strategic decisions. You will collaborate with stakeholders to deliver high-impact insights that influence commercial choices across brands.
With strong SQL and Python skills, you’ll challenge assumptions, tell data-driven stories, and partner with the business to enable outcomes that improve.
Lead Analyst, Strategic Data & Insights employer: Sainsbury's Supermarkets Ltd
As a Customer and Trading Manager on the nightshift at our Bridgend store, you will be part of a dynamic team that values bold leadership and exceptional service. We offer competitive salaries, a generous benefits package including discounts, bonuses, and wellbeing support, alongside a strong commitment to inclusivity and employee development. Join us in creating a rewarding work environment where your contributions directly enhance the shopping experience for our customers.
Contact Details:
Sainsbury's Supermarkets Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Analyst, Strategic Data & Insights
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We think you need these skills to ace Lead Analyst, Strategic Data & Insights
Some tips for your application 🫡
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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