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For Companies At a Glance
- Tasks: Analyse customer journeys and drive change through data insights and recommendations.
- Company: Join a leading retail brand with a focus on digital innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make an impact by transforming data into actionable insights that enhance customer experiences.
- Qualifications: Experience in web analytics, SQL, and a passion for data storytelling.
- Other info: Collaborative team environment with a focus on continuous learning and development.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a passionate individual to join our Digital Analytics Team to analyse the effect of changes to the customer journey throughout our digital business. Using web analytics and SQL amongst other tools, you will drive change by providing analysis, recommendations and reporting about funnel and feature performance to drive trading and development changes to our digital channels.
Responsibilities
- Be an expert at data storytelling to ensure people can consume the wealth of valuable data we have available.
- Document, trend and monitor the site funnels to identify areas of opportunity and focus.
- Communicate & Collaborate with the business in test creation and sharing of results.
- Translating business questions and requirements into engaging and digestible analysis.
- Support the team in training and delivering workshops to help stakeholders learn to self-serve or better use and understand data available.
- Work with the wider analytics team to create a data-driven culture, educate stakeholders and ensure data is both accessible and engaging.
- Work with the wider Analytics Team to ensure we’re setup for success and are able to answer the most important business questions.
Experience / Skillset required
- Currently in a similar role or have experience in a similar capacity.
- Thorough, demonstrable knowledge of site analytics tools & A/B Testing Tools (Maxymiser & Google Analytics would be an advantage).
- Advanced data manipulation skills using Excel and similar tools.
- Experience in analysing large datasets.
- Good understanding of commercial decision making and sales driving.
- Experience of working in a retail environment.
- Experience in Presenting and communicating to the Business.
- Understanding of Databases and SQL queries.
- Understanding of HTML.
- Experience in developing internal key metrics reporting and scorecards based on internal stakeholder requirements.
- Excellent attention to detail and high level of accuracy regarding quality of own work and presentation is essential.
- Organised with ability to multi-task, prioritise, work quickly and to tight deadlines.
- Ability to work as part of a team in a collaborative and flexible way.
- Excellent communication and interpersonal skills and ability to interact with all levels of end users and technical resources.
- Solid experience in online retail analytics.
- Working knowledge of sales and margin reporting process and data management tools.
- Technical experience of analytical tracking, website tagging and creating intricate funnels.
- Commercially minded and experience in interpreting data into meaningful information.
- Ability to consider analytics from a real customer perspective.
Digital Web Analyst in London employer: Selfridges
Contact Detail:
Selfridges Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Digital Web Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your data analysis projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to digital analytics. Be ready to discuss your experience with tools like Google Analytics and SQL, and how you've used data to drive business decisions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Digital Web Analyst in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for digital analytics shine through. We want to see that you’re genuinely excited about the role and how you can contribute to our team.
Tailor Your Experience: Make sure to highlight your relevant experience in web analytics and SQL. We love seeing how your past roles have prepared you for this position, so don’t hold back on those details!
Data Storytelling is Key: Since we value data storytelling, include examples of how you've communicated complex data insights in a digestible way. This will show us that you can make data accessible to everyone in the business.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Selfridges
✨Know Your Data Tools
Make sure you're well-versed in the analytics tools mentioned in the job description, like Google Analytics and SQL. Brush up on your skills and be ready to discuss how you've used these tools in past roles to drive insights and recommendations.
✨Master Data Storytelling
Prepare to showcase your ability to translate complex data into engaging narratives. Think of examples where you've successfully communicated findings to non-technical stakeholders, making the data relatable and actionable.
✨Demonstrate Collaboration Skills
Since the role involves working with various teams, come prepared with examples of how you've collaborated in the past. Highlight any experience you have in training others or leading workshops, as this will show your ability to foster a data-driven culture.
✨Be Ready for Scenario Questions
Expect questions that ask you to think critically about data from different perspectives. Prepare to discuss how you would approach analysing customer journeys or optimising funnels, and be ready to share your thought process in a clear and structured way.
