Hybrid Digital Analytics Lead, Commerce & Growth in London

Hybrid Digital Analytics Lead, Commerce & Growth in London

London Full-Time 50000 - 65000 £ / year (est.) Home office (partial)
Qvc

At a Glance

  • Tasks: Analyse digital data to shape trading decisions and optimise marketing campaigns.
  • Company: Join QVC Group, a leader in commerce and digital innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Work in a dynamic environment with a focus on collaboration.
  • Why this job: Make a real impact on customer journeys and marketing strategies.
  • Qualifications: Experience in digital analytics and strong communication skills.

The predicted salary is between 50000 - 65000 £ per year.

QVC Group is seeking a Digital Analyst to support QVC International from our London hub.

This hybrid role requires onsite presence at the Media and Commerce Centre at Chiswick Park, West London, ~2 days per week, to provide actionable analysis shaping trading decisions for Digital, Social and Performance Marketing teams.

You will develop and deliver regular reporting, drive insights, and influence senior stakeholders to optimize campaigns and customer journeys.

#J-18808-Ljbffr

Hybrid Digital Analytics Lead, Commerce & Growth in London employer: Qvc

QVC is an excellent employer, offering a dynamic work environment in the vibrant Chiswick Park area of West London. With a strong focus on employee growth and development, the company provides comprehensive benefits and a supportive culture that encourages innovation and collaboration. As a Retention Marketing Specialist, you'll have the opportunity to make a meaningful impact through engaging campaigns while enjoying a flexible hybrid work model.

Qvc

Contact Details:

Qvc Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid Digital Analytics Lead, Commerce & Growth in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Qvc!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Hybrid Digital Analytics Lead, Commerce & Growth at Qvc.

Leverage Professional Networks

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 Qvc.

Apply Directly through Our Website

When you find a suitable opening like Hybrid Digital Analytics Lead, Commerce & Growth at Qvc, 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 Analytics Lead, Commerce & Growth in London

Digital Analytics
Data Analysis
Reporting Skills
Stakeholder Management
Campaign Optimisation
Customer Journey Mapping
Performance Marketing

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 Qvc, 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 Qvc. 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 Qvc

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 Qvc!

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.