At a Glance
- Tasks: Drive data pipelines and insights to enhance Hopper's lodging offerings.
- Company: Join a fast-growing travel tech startup with big ambitions.
- Benefits: Enjoy unlimited PTO, competitive salary, and comprehensive health plans.
- Other info: Be part of a dynamic team with excellent career growth opportunities.
- Why this job: Make a real impact on travel experiences for millions of users.
- Qualifications: 5+ years in business intelligence, strong SQL skills, and creative problem-solving.
The predicted salary is between 60000 - 80000 £ per year.
In this role, you will play a pivotal role in tackling data and engineering challenges aimed at enhancing Hopper's lodging offerings, making Hopper the best place to book hotels and vacation rentals. This role has a tremendous impact on the vision and success of the company. It's a unique opportunity to join one of Hopper's strategic lodging teams and get access to fascinating and massive market and behavioural data sets. Your main responsibility will revolve around taking charge of our data warehousing, ensuring data accessibility, and delivering insights that will shape our strategic direction. In this role, you will be part of a cross-functional team of product managers, data scientists, and engineers who work closely together to make travel easier and reach millions of users in the process.
What would your day-to-day look like:
- Initiate, Develop, and Maintain Data Pipelines: Independently drive the creation and maintenance of data pipelines crucial for data-driven decision-making. Ensure these pipelines are robust, efficient, and consistently updated to provide real-time insights.
- Data Warehouse Ownership: Take full ownership of our data warehouse, making it an accessible and user-friendly resource for product and commercial teams. Streamline data storage, retrieval, and organization to empower teams with actionable insights.
- KPI Metrics and Reporting Frameworks: Identify, refine, and track key performance indicators (KPIs) critical to assessing business performance. Develop and maintain reporting frameworks that allow for continuous monitoring and reporting of these metrics.
- Core Reporting for Decision-Making: Create and manage core reporting systems that drive both daily operational decisions and long-term strategic ones. Ensure that these reports provide actionable insights and are readily available to relevant stakeholders.
- Revenue Growth Opportunities: By becoming an expert in our data and understanding our customers thoroughly, proactively identify new opportunities for revenue growth. Collaborate with cross-functional teams to implement strategies that capitalize on these opportunities.
- Autonomy in Problem-Solving: Identify data-related challenges and develop creative solutions independently. Demonstrate a proactive approach to problem-solving and a commitment to data quality and accuracy.
We are looking for someone who has a real bias for action, takes ownership, thrives on autonomy and delivers results. An ideal candidate has:
- +5 years of experience thriving in a fast-paced business intelligence focused role
- A proven track record of solving complex problems with an in-depth understanding of data, product, and business impact
- High attention to detail and ability to create scalable data solutions
- Fluency in using SQL for data creation, maintenance, and analysis
- Experience with data visualization tools (Looker, Tableau, Amplitude, Big Query)
- Demonstrated expertise in maintaining data quality, integrity, and compliance with data governance best practices.
- Worked on a consumer product and has shipped high-impact models at scale
- Strong experience, knowledge of, and/or keen interest in marketplace pricing and inventory.
- Strong creative problem-solving skills and critical thinking competencies
- Experience in launching, analyzing, and setting frameworks for A/B tests.
Perks of working with us:
- Well-funded and proven startup with large ambitions, competitive salary and stock options
- Unlimited PTO Flexport All Access Pass OR Work-from-home stipend
- Entrepreneurial culture where pushing limits and taking risks is everyday business
- Open communication with management and company leadership
- Small, dynamic teams = massive impact
- 100% employer-paid telemedicine, medical, dental, vision, disability and life insurance plans
- Access to a Retirement Savings Plan
More about Hopper:
At Hopper, we are on a mission to become the leading travel platform globally – powering Hopper’s mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions – helping people travel better and save more on their trips. The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world.
Lodging Data Analyst Senior — Data Warehouse & Insights in London employer: Hopper
Hopper is an exceptional employer that fosters an entrepreneurial culture, encouraging innovation and risk-taking within small, dynamic teams. Employees enjoy competitive salaries, unlimited PTO, and comprehensive health benefits, alongside opportunities for professional growth through access to fascinating market data and cross-functional collaboration. With a commitment to open communication and a focus on making a significant impact in the travel industry, Hopper provides a rewarding environment for those looking to thrive in a fast-paced, data-driven role.
StudySmarter Expert Advice🤫
We think this is how you could land Lodging Data Analyst Senior — Data Warehouse & Insights in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Hopper. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or examples of your work, bring them along to interviews. Demonstrating your data pipeline creations or reporting frameworks can really impress.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your SQL and data visualisation tools. Be ready to discuss how you've tackled complex problems in the past – it shows you’re the real deal.
✨Tip Number 4
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 being part of the Hopper team.
We think you need these skills to ace Lodging Data Analyst Senior — Data Warehouse & Insights in London
Some tips for your application 🫡
Show Your Data Passion:When you're writing your application, let your enthusiasm for data shine through! Talk about your experience with data pipelines and how you've tackled challenges in the past. We love seeing candidates who are genuinely excited about using data to drive decisions.
Tailor Your Application:Make sure to customise your application to highlight your relevant skills and experiences. Mention specific tools like SQL or data visualisation platforms you've used. This shows us that you understand the role and have the right background to make an impact.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon where possible. We appreciate candidates who can communicate complex ideas simply, as this is key in our cross-functional teams.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it gives you a chance to explore more about us and what we do at Hopper!
How to prepare for a job interview at Hopper
✨Know Your Data Inside Out
Before the interview, dive deep into your understanding of data warehousing and analytics. Be prepared to discuss specific projects where you've developed or maintained data pipelines, and how those efforts led to actionable insights. This will show that you not only have the technical skills but also the ability to apply them in a real-world context.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've solved in previous roles, especially those related to data quality and integrity. Highlight your creative approaches to overcoming challenges and how your solutions positively impacted business outcomes. This will demonstrate your autonomy and bias for action, which are key traits for this role.
✨Familiarise Yourself with KPIs
Understand the key performance indicators relevant to the lodging industry and be ready to discuss how you've tracked and reported on these metrics in the past. Bring examples of reporting frameworks you've developed and how they contributed to strategic decision-making. This will illustrate your ability to align data insights with business goals.
✨Engage with Cross-Functional Teams
Since this role involves collaboration with product managers, data scientists, and engineers, think of instances where you've successfully worked in cross-functional teams. Be ready to discuss how you communicated insights and collaborated on projects to drive results. This will highlight your teamwork skills and your understanding of the broader business context.
