Data Analyst Germany

Berlin, Germany Full-time

Guten Tag! We are OYO. Nice meeting you!

We are OYO, the fastest-growing hospitality chain globally and our mission is very simple: creating quality living spaces to help people find an affordable place to stay everywhere they go. OYO is standardizing the experience both for guests and hotels by introducing technology to the currently broken affordable hotel industry.

Originally founded in India in 2013, we are already Asia’s largest and 3rd largest hotel chain worldwide and on track to become the world’s biggest hotel brand by 2023. By partnering with asset and home-owners we are providing travelers 23k+ exclusive OYO hotels across 800+ cities in 80+ countries at an affordable price.


At present we are valued over $10 Billion, backed by some of the world’s best investors such as SoftBank, Sequoia Capital, and Lightspeed Venture Partners and have been recognized as #1 LinkedIn Top Startups in Asia.

OYO is now looking to expand its business into Europe, launching in Germany. It is a lifetime opportunity to join a truly global trend and be part of zero-to-one early team that is building the biggest hospitality chain in Europe. We push ourselves to innovation edge and optimize for your growth and learning. We prefer speed and hustle as it is always Day 0 here. We build meritocratic culture where best ideas win and diversity is an essential part of the setup. Competitive compensation and fun-loving environment is waiting for you if you have that fire in the belly.

The Position

In this position you will get to work with extensive hotel datasets to empower our management to take the right strategic decisions and guide our Sales and Ops teams to the perfect opportunity.

You must bring a hacker mindset, be adept at data analysis and have some programming experience to help us automate our processes and set up a robust analysis framework that supports our growth at scale.

At this phase we need your creativity and problem-solving attitude to integrate a multitude of data sources, then come up with meaningful indicators that help us focus on the right market and the right lead and also implement and validate these. As we are growing fast, you must be ready to take some responsibility, however, you'll always have the support of our world class engineers and industry experts

Responsibilities:

Support Sales Team with digital infrastructure, hot Leads and spot-on data driven pitch documents:

  • Help us plug in new Lead sources, set up a system to spot duplicates and ensure high quality
  • Contribute to a robust system to score and prioritize Leads
  • Be part of setting up processes and data flows in our CRM system, powering up Sales, Management and our own next analysis
 Work with Management to plan market entrance strategy:
  • Evaluate and prioritize markets based on industry data and your insights
  • Identify relevant indicators and coordinate with external information providers to get a full market overview

Support Operations by providing insights into day to day business

  • Spot anomalies in daily operations and propose solutions how to address identified root causes

The must have‘s:

  • Candidate should have more than 4 years of experience in similar capacity
  • Programming and data wrangling experience, preferably in R or python
  • In addition to stellar technical skills, candidate should bring strong analytical thinking and be able to think along and see the big picture
  • This role will require certain creativity and hacker attitude
  • Good communication skills, verbal and written English
  • We are looking for candidates that live in Germany and are eligible to work in Germany. We don't provide visa sponsorship.  

Read more about OYO Rooms:

We are expanding in Europe and recently launched in the UK market.

OYO is disrupting the global Hotel market with our design, transformation, operational and technology capabilities and our growth rate is pretty exceptional!

The company just raised a $Billion from investors, led by Softbank Vision Fund the $100 Billion Tech fund and we are having strong momentum.. proven by this recent investment from AirBnb 

The conclusion is simple.

 

We are an equal opportunity employer and all applicants will receive consideration for employment without regard to any characteristic protected by law.