At a Glance
- Tasks: Own and optimise digital analytics for our global hotel portfolio.
- Company: Join a fast-growing, innovative hospitality group in London.
- Benefits: Enjoy 25 days holiday, health perks, and great discounts.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make an impact with AI-driven insights and enhance digital performance.
- Qualifications: 3+ years in digital analytics, strong GA4 and Google Tag Manager skills.
The predicted salary is between 45000 - 55000 £ per year.
Company Description
We are looking for a Digital Analytics Specialist to join our Data Team to assist with the Digital & E-commerce function in London. This role is central to how we measure, understand and optimise digital performance across our global portfolio of hotels, membership and F&B outlets.
You will own our website, booking engine and app analytics and tracking ecosystem, ensuring data accuracy, consistency and usability across platforms, markets and brands. Working closely with internal teams, external agencies, and our Product & Engineering teams (across the website, booking engine and app), you'll establish best-practice tracking foundations, leverage AI-powered analytics to automate reporting and monitoring, and turn complex data into actionable insights that support commercial decision-making.
As part of the role, you'll help evolve our analytics capability by identifying opportunities to reduce manual reporting, introduce automation, and apply AI to uncover trends, anomalies and opportunities that would otherwise go unnoticed.
Job Description
What You'll Do
Analytics & Tracking Ownership
- Own and manage Google Tag Manager (GTM), including marketing tags, custom events and tracking enhancements.
- Manage GA4 implementations across multiple brands, hotels and F&B outlets, ensuring best practice configuration and data integrity.
- Manage custom events, implement tracking updates and run tracking tests to support new features, campaigns and platform updates.
- Continuously identify opportunities to enhance tracking and data collection to enable advanced analytics, AI-driven insights and predictive reporting.
Tracking Standards & Best Practice (Product + Engineering Partnership)
- Work closely with our Product and Engineering teams (website, booking engine and app) to establish consistent, scalable ways of tracking user behaviour and conversion performance.
- Define and maintain a best-practice approach to custom event tracking, ensuring measurement reflects evolving platform needs and industry standards.
- Support the delivery of new digital experiences by ensuring tracking requirements are embedded early in the development lifecycle (from specification through QA and release).
- Design tracking frameworks that support AI-powered analysis, automation and future machine learning use cases.
Data Consistency, Governance & Automation
- Maintain consistent default channel groupings, UTM structures and tracking standards across all digital touchpoints.
- Act as the guardian of analytics documentation, ensuring clarity and alignment across teams and paid media agencies.
- Develop and maintain automated data validation and quality monitoring processes to proactively identify tracking issues and anomalies.
- Champion the use of AI-assisted data governance to improve data quality, documentation and operational efficiency.
Reporting, Insights & AI Enablement
- Build, maintain and enhance Looker Studio dashboards for stakeholders across Digital, E-commerce, Marketing, Business Intelligence and Commercial teams.
- Work within our data team to define reporting, dashboarding and data visualisation across Ennismore's internal reporting tools.
- Help establish robust approaches to website revenue attribution, including the measurement and reporting of e-commerce KPIs.
- Transform manual reporting processes into automated, self-service dashboards and AI-assisted reporting solutions that reduce effort while improving speed and consistency.
- Develop intelligent monitoring and alerting capabilities to proactively identify performance changes, anomalies and errors.
- Translate complex data into clear, actionable recommendations that drive conversion optimisation, customer experience and commercial growth.
Innovation & Continuous Improvement
- Stay up to date with emerging AI technologies, analytics platforms and automation capabilities, recommending and implementing solutions that improve efficiency and business insight.
- Evaluate new opportunities to apply predictive analytics and intelligent automation within the digital analytics ecosystem.
Collaboration & Agency Management
- Coordinate with digital paid media agencies to ensure accurate and consistent tracking across paid channels for both hotels and F&B outlets.
- Partner with internal Digital, E-commerce, Brand, Product and Engineering teams to align tracking with business objectives.
- Work collaboratively with Business Intelligence and Data teams to identify opportunities where AI and automation can enhance reporting and analytics across the organisation.
Qualifications
What We're Looking For
- 3+ years' proven experience in digital analytics or a similar role.
- Strong hands-on experience with GA4 and Google Tag Manager, from e-commerce funnel setup to creating containers from scratch.
- Experience working with Looker Studio (Data Studio), Tableau, DOMO or similar data visualisation tools.
- Solid understanding of digital marketing tracking, attribution and e-commerce measurement.
- Experience designing automated reporting solutions and reducing manual reporting through data visualisation, scripting or workflow automation.
- Good understanding of analytics tools and how they can be applied to automate reporting, accelerate analysis, improve data quality and surface commercial insights.
- Experience using AI tools to improve productivity, automate workflows, generate insights and enhance reporting.
- An interest in predictive analytics, anomaly detection and AI-driven monitoring, with a curiosity to explore new technologies that improve decision-making.
- Confidence working with agencies and multiple stakeholders in a fast-paced environment.
- Strong analytical thinking, commercial awareness and the ability to communicate insights clearly to technical and non-technical audiences.
- A detail-oriented mindset with a passion for data accuracy, continuous improvement and leveraging AI to modernise analytics capabilities.
Additional Information
What’s in it for you…
- 25 days holiday (and bank holidays), pension and life insurance
- A health cash plan to claim money back and get access to lots of ways to support your physical & mental wellbeing
- Treat yourself with lots of retail & hospitality perks through our partners
- Excellent discounts across the entire Ennismore family for you and your nearest and dearest (even after you leave!)
- Extra time off to volunteer with one of our partner charities
- Cycle to work scheme
- Enhanced Family Leave
- Join an innovative, fast-growing, international group that’s committed to not just building new hotels but building a global brand.
- The chance to challenge the norm and work in an
- environment that is both creative and rewarding.
- Become part of a team that’s very passionate about creating great hospitality experiences and building a portfolio of brands.
- Great discounts across the entire Ennismore family (which you get to keep even if you decide to leave us!)
- A competitive package and plenty of opportunity for development.
Digital Analytics Specialist in London employer: AccorCorpo
Ennismore is an exceptional employer, offering a vibrant work culture in the heart of London that fosters innovation and creativity. As a Digital Analytics Specialist, you'll benefit from a competitive package, generous holiday allowance, and a commitment to employee wellbeing, alongside opportunities for professional growth within a fast-growing international group. With a focus on leveraging AI and automation, you'll be part of a team dedicated to transforming the hospitality experience while enjoying unique perks and discounts across the Ennismore family.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Analytics Specialist 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 AccorCorpo!
✨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 Analytics Specialist at AccorCorpo.
✨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 AccorCorpo.
✨Apply Directly through Our Website
When you find a suitable opening like Digital Analytics Specialist at AccorCorpo, 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 Analytics Specialist 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 AccorCorpo, 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 AccorCorpo. 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 AccorCorpo
✨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 AccorCorpo!
✨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.
