Data Analyst (Remote) - Operational Departments (m/f/d)

Germany - Berlin

Guest Experience

full-time

About numa

numa is a hospitality brand offering uniquely designed apartments for the modern traveller. We develop and operate a new category of lifestyle apartments whether it is for your weekend city trip, business travel or temporary home. Our uniquely designed apartments are located in the most exciting neighbourhoods and cities, that will make you feel like a local. numa offers you a consistent quality and guest experience no matter where your next trip will take you. To achieve our mission, we are building a proprietary technology and data platform connecting hospitality services, real estate and guest experiences.

About The Role

We are seeking a skilled data and process analyst to join and support our two largest operational departments at numa. In this position, you will be responsible for visualizing and analyzing various datasets for the departments Operations and Guest Experience, with the goal of identifying trends, patterns, scalability opportunities and insights that can inform business processes and strategies driving  growth. 

Mission
  • Establish data collection processes to analyze large datasets from various sources
  • Create visualizations and reports in BI tools (e.g. Looker) and presentations to effectively communicate findings to stakeholders and leadership teams
  • Proactively identify key trends and patterns in the data, develop action plans to address identified issues and formulate recommendations on process improvements
  • Collaborate with operational departments to identify areas of improvement and implement business strategies
  • Participate in regular hands-on trainings within both departments to understand the daily business and processes
  • Stay current with industry trends and new technologies related to data analysis
  • Directly report to the COO

Objectives
  • Increase data visualization within both departments
  • Improve current data visualization
  • Implement data driven decision making process for both departments

About You

  • Bachelor's or Master's degree. If it's in a related field (e.g. data analytics, statistics, mathematics, computer science) or Business administration with a focus on one of the above mentioned areas this is a plus)
  • 2+ years in data analysis or business consultant role (with a focus on data visualization)
  • C1 in English (German, Spanish or Italian is plus)
  • SQL 2+ years
  • Looker or similar BI tool (2+ years)
  • Data Analytics/Mathematics/Statistics/Computer sciences
  • GSuite (Gsheets, GDoc, Gslides)
  • Data visualization/Data story telling
  • Analytical thinking
  • Ability to translate complex data into easy to read presentations
  • Hands-on mentality
  • Attention to detail
  • Independent & proactive worker
  • Willingess to travel if required for detailed analysis
  • Experience in Hospitality is a plus

About Our Offer

  • This role is available remotely or at our HQ office in Berlin.
  • Join an agile work environment with flat hierarchies where your ideas make an impact from the very beginning
  • Build your own success story based on what you do well and how you want to grow
  • Make the most of our flexible working hours and work from home flexibility
  • Choose the tools you work with from our selection of office equipment and software
  • Maintain and improve your mental wellness with a monthly Calm subscription on us
  • Elevate your fitness with a free Gympass subscription or monthly gym stipend
  • Get to know your internationally diverse team during our events and retreats
  • We want you to understand our product so upon your start, you'll get to spend a night at your nearest numa stay!
numa values the diversity of the people it hires and serves. Diversity at our company means fostering a workplace in which individual differences are recognised, appreciated, respected and responded to in ways that fully develop and utilise each person’s talents and strengths. We therefore welcome applications from people of all races, ethnicities, disability statuses, ages, religions, gender identities, and sexual orientations. 

*For more information on the processing of your personal data, please see our Privacy Notice.
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