Data Analyst

Launched in 2011, HotelTonight offers the world’s best mobile apps for booking hotels. We make it remarkably easy to book great hotels at amazing last-minute rates on your mobile device, for tonight, tomorrow and next week. When hotels have unsold rooms, they load them onto the app, which means incredible deals. We screen every hotel featured, and only work with ones you'll love.

Working in Analytics at HotelTonight is a BIG challenge and is highly rewarding. You will turn data into insights and insights into business decisions. You will work directly with stakeholders and decision makers. With an extremely fast go-to market timeline at HotelTonight, you will get to experience results of your analysis within weeks of completion. You will hang out with experts from different business areas and also learn advanced analytical skills from our top-notch Analytics team. You will not just discuss problems but solve them, hack them, crush them.

* Use data to inform our global expansion, help create and strengthen relationships with hotel partners, and drive our user acquisition strategy * Proactively develop KPIs to identify trends and evaluate the success of company initiatives * Mine the database for critical business insights and communicate findings to the organization * Tell the story by visualizing the data * Develop models and ad hoc reports, and share observations and recommendations * Drive continuous improvement of business processes, analytics tools, and data quality * Shape HotelTonight’s data infrastructure, including data warehousing, reporting and analytics platforms There are no rules, no right or wrong. We question, we respect and we build. Analytics is a pillar in HotelTonight‘s phenomenal growth and you will be an influence in how Analytics can contribute more. You will get to strategize, plan and build models and reports that drive success. Business partners will look to you for consultation and you’ll have an immediate impact, owning and developing the data capabilities.

* Strong applied analytics. This means you love data, gleaning insights from data, and making decisions based on data. You need to have demonstrable history of doing this. SQL, Excel and databases make you happy * Work smarter mentality. A successful candidate would be one that works smarter and understands ROI * Experience with BI tools like Looker, Tableau, Microstrategy or similar * Experience with modeling, report creation, and trend forecasting * Exceptional attention-to-detail with the ability to meet aggressive deadlines. We move at a fast pace and generally have 3-5 projects going at any one time * Excellent communication and presentation skills. Effectively presenting the insights is as important as the insights themselves * B.S. Degree Business, Finance, Math, Economics or related field * Self-motivated with 4-5 years of industry work experience that includes a start-up to mid-size company * Enough technical chops that you can talk to our data engineering team * Bring your experience in, be creative. Question the norm and contribute ideas * Good understanding and interest in business. Not just a follower but brings in new perspective