Hybrid Digital Trading Insights Lead

Hybrid Digital Trading Insights Lead

Full-Time 60000 - 75000 £ / year (est.) Home office (partial)
John Lewis & Partners

At a Glance

  • Tasks: Generate insights to drive trading decisions using data analytics tools.
  • Company: Join John Lewis & Partners, a leading retail brand in London.
  • Benefits: Flexible hybrid work environment and opportunities for professional growth.
  • Other info: Collaborative culture with a focus on storytelling and autonomy.
  • Why this job: Make an impact by presenting actionable insights to key stakeholders.
  • Qualifications: Strong data analytics skills and experience with SQL and dashboards.

The predicted salary is between 60000 - 75000 £ per year.

John Lewis & Partners in London is seeking a senior data analytics professional to generate end-to-end insights that drive trading decisions.

You will use SQL, dashboards and platforms such as Contentsquare and Adobe to uncover actionable opportunities, presenting findings to stakeholders.

This role requires strong storytelling, collaboration with senior stakeholders, and the ability to work autonomously in a hybrid environment with some flexibility.

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Hybrid Digital Trading Insights Lead employer: John Lewis & Partners

John Lewis & Partners is an excellent employer, offering a supportive work culture that prioritises employee development and customer satisfaction. Located in Milton Keynes, the company provides comprehensive training for its In-Store Customer Experience Specialists, ensuring that all team members have the skills needed to excel in their roles while fostering a sense of community and collaboration among staff.

John Lewis & Partners

Contact Details:

John Lewis & Partners Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid Digital Trading Insights Lead

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Apply Directly through Our Website

When you find a suitable opening like Hybrid Digital Trading Insights Lead at John Lewis & Partners, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Hybrid Digital Trading Insights Lead

Data Analytics
SQL
Dashboard Creation
Contentsquare
Adobe Analytics
Storytelling
Stakeholder Engagement

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 & Partners, 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 & Partners. 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 & Partners

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!

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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 & Partners!

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.