Junior Data Analyst

Numa

Lisboa, Lisboa, Lisboa, PortugalRemote

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ABOUT NUMA Hey there! Weâre Numa, a forward-thinking hospitality brand redefining how people discover cities. We create spaces where simplicity meets innovation, offering thoughtfully designed rooms, studios, and apartments in the heart of Europeâs most vibrant neighbourhoods. Weâre not just transforming the guest experienceâweâre revolutionizing the hospitality industry from the inside out. Our cutting-edge technology streamlines operations, delivering unparalleled value with no hidden feesâjust real, quality experiences. At Numa, we believe that travel should be curious and authentic, and we bring those same values to our work culture. As part of our team, youâll experience a dynamic and supportive environment where creativity thrives, and your contributions make a real impact. Weâre committed to fostering a diverse, inclusive, and equitable workplace where every voice is valued, and different perspectives fuel our innovation. ABOUT THE ROLE â Extract and analyse data from multiple large-scale data warehouses, supporting the setup, maintenance, and integration of data sources. â Develop dashboards and reporting to generate commercial insights across revenue functions, including Revenue Management, Marketing, Strategy, and other business teams. â Proactively identify trends, patterns, and anomalies in data, and translate findings into actionable recommendations and process improvements. â Collaborate with stakeholders to identify strategic opportunities and answer key business questions through data analysis. â Present analyses and insights to a wide range of business stakeholders in a clear and compelling way. â Enable stakeholders to independently leverage data by developing self-service dashboards and tools (e.g., Looker). â Support the development, standardization, and rollout of internal reporting across the organization. â Contribute to improving data quality, definitions, and governance within the Revenue Analytics domain. ABOUT YOU â Proficiency in SQL and experience with Looker (or similar BI tools such as Tableau, Power BI, etc.). â Advanced knowledge of Google Sheets or Microsoft Excel. â Bachelorâs or Masterâs degree in a relevant field (e.g., Data Analytics, Statistics, Mathematics, Computer Science), or Business Administration with a strong analytical focus. â Interest in data analysis, visualization, statistics, and data storytelling. â AI-first mindset with a strong curiosity for emerging AI technologies and applications. â Strong problem-solving skills, hands-on mentality, and ability to think critically and work autonomously in iterative environments. â Collaborative team player with strong communication skills. ABOUT OUR OFFER Empower your career: Thrive in a fast-paced, collaborative environment where your ideas help shape our future. Enjoy opportunities for professional growth and build a fulfilling career path. Experience our brand: Immerse yourself in the Numa lifestyle with a complimentary stay. Share the love with friends and family through exclusive discounts on our stylish apartments. Connect with a global community of colleagues at our inspiring team-building events. 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 personâs 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. Please mention the word **THRIFT** and tag RMjA4Ljc3LjI0NC4xMjU= when applying to show you read the job post completely (#RMjA4Ljc3LjI0NC4xMjU=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human. Tags: analyst, customer support, marketing, travel, speech, math, microsoft, exec, data science, junior, ops, excel, stats

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