Insight Manager: Contact Centre Analytics & Strategy

Insight Manager: Contact Centre Analytics & Strategy

Full-Time 55000 - 65000 £ / year (est.) Home office (partial)
John Lewis plc

At a Glance

  • Tasks: Lead data-driven projects and deliver impactful analysis in the Contact Centre.
  • Company: Join John Lewis plc, a renowned brand with a commitment to excellence.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Be part of a dynamic team in a supportive and innovative environment.
  • Why this job: Make a real difference by driving business value through insightful analytics.
  • Qualifications: Experience with SQL, Python, and advanced analytics techniques is essential.

The predicted salary is between 55000 - 65000 £ per year.

John Lewis plc is seeking an Insight Manager for their Analytics Team, based in London. This hybrid role involves leading data-driven projects in the Contact Centre area, ensuring impactful analysis and stakeholder engagement.

The ideal candidate will have significant experience with SQL, Python, and advanced analytics techniques, and will play a crucial role in driving business value through effective insights.

Insight Manager: Contact Centre Analytics & Strategy employer: John Lewis plc

John Lewis plc is an exceptional employer, offering a dynamic work culture that values innovation and collaboration. With a strong focus on employee development, the company provides numerous growth opportunities and benefits, including flexible working arrangements in the vibrant city of London, making it an ideal place for professionals seeking meaningful and rewarding careers in analytics.

John Lewis plc

Contact Details:

John Lewis plc Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Insight Manager: Contact Centre Analytics & Strategy

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Apply Directly through Our Website

When you find a suitable opening like Insight Manager: Contact Centre Analytics & Strategy at John Lewis plc, 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 Insight Manager: Contact Centre Analytics & Strategy

SQL
Python
Advanced Analytics Techniques
Data-Driven Project Management
Stakeholder Engagement
Impactful Analysis
Business Value Generation

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.