At a Glance
- Tasks: Build and maintain digital data infrastructure for ecommerce insights and analytics.
- Company: Join Currys plc, a leading tech retailer in London.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative team environment focused on innovation and data-driven decisions.
- Why this job: Make an impact on ecommerce reporting while using the latest analytics tools.
- Qualifications: Experience with GTM, GA4, SQL/Python, and cloud platforms is a plus.
The predicted salary is between 45000 - 60000 £ per year.
Currys plc in London is seeking a Digital Analytics Developer to join the Digital Data Team.
You will build and maintain the digital data infrastructure powering ecommerce reporting, insights and analytics.
You will own tracking across web and mobile, using GTM, GA4, Adobe Launch and Adobe Analytics, with data audits, GDPR compliance and collaboration with Product, UX and Marketing.
Knowledge of SQL/Python and cloud platforms is highly valued.
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StudySmarter Expert Advice🤫
We think this is how you could land Digital Analytics Engineer: GTM/GA4 & Data Pipelines in London
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We think you need these skills to ace Digital Analytics Engineer: GTM/GA4 & Data Pipelines 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 Currys 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 Currys 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 Currys 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!
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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 Currys 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.
