At a Glance
- Tasks: Generate trading insights using data analytics tools and collaborate with senior stakeholders.
- Company: Join John Lewis, a dynamic employee-owned partnership known for its collaborative culture.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Work in a vibrant London office with a supportive team environment.
- Why this job: Make a real impact by turning data into actionable business strategies.
- Qualifications: Experience in SQL, SAS, Python, and data visualisation is essential.
The predicted salary is between 50000 - 55000 £ per year.
John Lewis plc is seeking a data analytics professional to generate end-to-end trading insights.
You’ll use SQL, SAS, Python, and visualization tools to turn data into actionable business recommendations while collaborating with senior stakeholders to influence strategy and profitability.
The role is based in London with hybrid working, three days in the head office and two from home, supporting a dynamic, employee-owned partnership environment.
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Digital Trading Insights Manager (Hybrid) employer: John Lewis plc
John Lewis plc is an excellent employer, offering a supportive work culture at The Odney Hotel in the picturesque setting of Cookham, Berkshire. Employees benefit from competitive pay, flexible part-time hours, and opportunities for growth within a renowned company known for its commitment to customer service excellence. Join us to be part of a team that values your contributions and fosters a rewarding career in hospitality.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Trading Insights Manager (Hybrid)
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like John Lewis plc.
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We think you need these skills to ace Digital Trading Insights Manager (Hybrid)
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at John Lewis plc, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at John Lewis plc. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at John Lewis plc
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at John Lewis plc!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
