Data Analyst, Hopper Hotels
United Kingdom
The Data Analyst (Hopper Hotels) will be responsible for revenue reporting and forecasting, maintaining data integrity, and providing data transparency for Hopper’s hotel supply team and our partners. This person will mine our data to help deliver tangible benefits for our app customers and supply partners, maximize revenues from our existing supplier footprint as well as creating reporting to track and forecast revenue.
This role requires a naturally curious individual who will directly influence the direction of the team using our data. You will work closely with the supply team and product management teams who will use your outputs to communicate effectively with our partners and continue to delight our app users through product enhancements you help uncover.
You could be a fit if you’re excited about working with field based teams, taking their unstructured thinking and problems and using your data analytics skills to help steer direction, close sales, inform strategy and achieve our 2022 goals.
What would your day-to-day look like:
- Lead analytical projects to support our Hotel Supply team
- Deliver quantitative results, business understanding and strategic insights
- Help create robust tracking of our experiments, by combining data from multiple sources, internal databases and analytics tools
- Design and implement automated analysis scripts, develop and deliver your tables, charts and interactive tools to present your results
- Support a growing sales organisation
- Work with a cross-functional team of product managers, designers and engineers as well as the supply team to find effective ways to simplify and communicate analyses to a non-technical audience
An ideal candidate has:
- Strong analytical and creative problem-solving skills
- Strong background in relational databases and SQL
- Experience with business analytics and e-commerce concepts like conversion and activation
- Exposure to scripting with Python
- Proven ability to communicate complex technical work to a non-technical audience
- Enthusiasm and curiosity for conducting research and answering hard questions with data
- The ability to work with minimal guidance, be proactive and to handle ambiguity and the challenge of quickly evolving goals
- 3-5 years of relevant work experience
Preferred qualification:
- Experience in e-commerce or in the travel industry
- Knowledge of Amplitude or Tableau
- Experience using Google BigQuery
- Experience with Salesforce and related data
Perks of working with us:
- Well-funded and proven startup with large ambitions, competitive salary and stock options
- Unlimited PTO
- WeWork All Access Pass / 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 health & dental plans
At Hopper, we’re on a mission to build the most customer-centric travel company on earth. We are leveraging the power that comes from combining massive amounts of data and machine learning to build the world’s fastest-growing mobile first travel marketplace - one that enables our customers to save money and travel better. It’s cheaper to purchase travel with Hopper!
Hopper’s goal is to reduce traveler anxiety throughout all stages of the trip buying process. By creating a transparent travel marketplace and unique, data-driven financial technology products focused on providing peace-of-mind, Hopper adds value along each step of the customer’s journey.
Recognized as one of the world’s most innovative companies by Fast Company three years in a row, Hopper has been downloaded over 60 million times and sees over 1.9 million new installs per month. Our revenue growth is up 330% versus 2020 as we continue to outperform market recovery.
Now we're laying the groundwork for continued expansion in 2021 by adding great people to our team who can help us compete with the travel giants. Come take off with us!
* Salary range is an estimate based on our salary survey at salaries.ai-jobs.net
Tags: BigQuery Business Analytics Data Analytics E-commerce Machine Learning Python Research SQL Tableau
Perks/benefits: Career development Competitive pay Equity Health care Home office stipend Startup environment Travel Unlimited paid time off
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