At a Glance
- Tasks: Analyse digital performance and turn data into actionable insights to drive revenue growth.
- Company: Join Whitbread, a leader in the hospitality industry with a focus on innovation.
- Benefits: Hybrid working, career progression, and access to industry-leading tools.
- Other info: Be part of a data-driven culture that values your insights and recommendations.
- Why this job: Make a real impact on digital platforms and customer experiences while driving revenue.
- Qualifications: Experience in analytical roles, strong stakeholder management, and proficiency in web analytics tools.
The predicted salary is between 40500 - 49500 £ per year.
- Commercial Analytics - E-Commerce Analyst
- Chancery Ln, London, UK
Job Description
Job Title
e Commerce Analyst
Contract Type
Permanent
Office Based
Chancery Lane | Hybrid Working
Are you a commercially minded analyst who loves turning data into actionable insights that drive revenue growth?
At Whitbread, we're looking for an e Commerce Analyst to join our Commercial Analytics team.
Sitting at the intersection of e Commerce, Digital Product and Commercial Performance, this role offers the opportunity to influence millions of pounds worth of revenue by helping shape the future of our digital platforms, customer journeys and online experience.
This is an exciting opportunity for someone who is highly analytical, commercially astute and confident influencing senior stakeholders within a large and complex business.
What you'll be doing
- Analyse digital performance across our website and app, identifying trends and opportunities relating to traffic, conversion, revenue and customer behaviour.
- Evaluate the impact of product changes, feature releases and optimisation initiatives, measuring commercial benefit and providing recommendations for future improvements.
- Design, measure and interpret tests to improve digital performance and conversion rates.
- Develop reporting frameworks and dashboards that support monitoring of commercial initiatives, marketing activity, customer journeys and user experience programmes.
- Leverage data to generate meaningful insights and support decision-making.
- Partner closely with other teams across Commercial, such as e Commerce, Product, and Performance Marketing, to maximise digital performance and revenue growth.
- Translate complex datasets into clear, actionable recommendations for both technical and non-technical audiences.
- Present findings and business cases to stakeholders, influencing prioritisation decisions and securing buy-in for change.
- Identify opportunities to improve customer experience, conversion and digital revenue through both strategic and tactical initiatives.
- Promote understanding and adoption of digital analytics tools and insights within the wider Commercial and Marketing teams.
Why you'll love it here
- Join a high-profile Commercial Analytics team supporting some of the business's most important revenue-generating channels.
- Work across e Commerce, Digital Product and Performance Marketing, influencing key strategic decisions.
- Use industry-leading tools including Adobe Analytics, Databricks and Power BI.
- Play a direct role in driving digital revenue growth and customer experience improvements.
- Excellent opportunities for career progression within Commercial Analytics, Product, e Commerce and the wider business.
- Work within a data-driven culture where your recommendations lead to real commercial outcomes.
What you'll need
- Proven experience in a similar high impact analytical role.
- Strong experience analysing digital performance across websites, apps or online customer journeys.
- Excellent commercial awareness, with the ability to connect performance data to revenue and business outcomes.
- Experience working with large, complex datasets and models within a sizeable organisation.
- Strong stakeholder management skills, with the confidence to challenge, influence and secure buy-in from senior leaders.
- The ability to move from data analysis to insight, recommendation and measurable business action.
- Experience partnering with Digital Product, e Commerce, Commercial or Marketing teams.
- Advanced analytical and problem-solving capabilities, with strong attention to detail.
- Experience using web analytics tools, ideally Adobe Analytics
- Experience with data manipulation and visualisation tools such as Databricks and Power BI desired.
- Strong Excel skills and confidence manipulating and interpreting data.
- Excellent communication and presentation skills, with the ability to simplify complex information for a variety of audiences.
- A curious, proactive mindset with a passion for identifying opportunities and driving continuous improvement.
Join our Commercial Analytics team and help shape the future of our digital performance, using insight, data and commercial thinking to drive growth across some of Whitbread's most important customer channels.
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Commercial Analytics - E-Commerce Analyst in London employer: Whitbread PLC
Whitbread PLC, as part of the UK's leading hospitality group, offers a supportive and dynamic work environment at Premier Inn Slough. Employees benefit from flexible hours, competitive pay, and opportunities for personal growth within a culture that prioritises guest satisfaction and teamwork. Join us to be part of a dedicated team that values your contributions and fosters a sense of belonging.
StudySmarter Expert Advice🤫
We think this is how you could land Commercial Analytics - E-Commerce Analyst in London
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We think you need these skills to ace Commercial Analytics - E-Commerce 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!
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Craft a Tailored Cover Letter:For a full-time role at Whitbread 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 Whitbread 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 Whitbread 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 Whitbread 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.