At a Glance
- Tasks: Analyse digital data to generate insights that boost commercial performance.
- Company: Join a dynamic Group Digital team in a growing company.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and explore AI in analytics.
- Why this job: Make an impact by improving customer journeys and ecommerce performance.
- Qualifications: Experience in digital analytics and strong data visualisation skills.
The predicted salary is between 34650 - 42350 £ per year.
We are looking for an experienced and commercially minded Digital Analyst to join a growing Group Digital team.
This is an exciting opportunity for a data-driven professional to use digital, ecommerce and customer data to generate meaningful insights that support commercial performance and better decision-making.
Based in London with hybrid working, youll work closely with Ecommerce, Marketing, Product, Technology and external partners to strengthen digital tracking, reporting and analytics capabilities.
About the Role
This is a hands-on role for an analytical and curious individual with strong experience across digital analytics, reporting and data visualisation.
Youll be responsible for ensuring digital data is accurate, accessible and actionable, while identifying opportunities to improve customer journeys, ecommerce performance and conversion.
Youll also have the opportunity to contribute to the development and use of AI within analytics, helping to identify new and more efficient ways of generating insight.
Key Responsibilities
- Act as a subject matter expert for Google Analytics 4 (GA4).
- Own and enhance digital measu...
Digital Analyst in London employer: TQR
Join a dynamic and innovative team as a Digital Analyst in London, where you'll have the chance to make a real impact on commercial performance through data-driven insights. Our hybrid working model promotes a healthy work-life balance, while our collaborative culture encourages professional growth and the exploration of cutting-edge technologies like AI in analytics. With a focus on employee development and a commitment to fostering creativity, we offer a rewarding environment for those looking to advance their careers in digital analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Analyst 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 TQR!
✨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 Digital Analyst at TQR.
✨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 TQR.
✨Apply Directly through Our Website
When you find a suitable opening like Digital Analyst at TQR, 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 Digital Analyst in London
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 TQR, 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 TQR. 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 TQR
✨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 TQR!
✨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.
