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Vacantes / freenow

Senior Data Analyst (m/f/d) - Hamburg

freenow · Hamburgsenior

En corto

  • ▸Analista de datos senior que transforma datos en decisiones estratégicas con enfoque en operaciones.
  • ▸Hoy en día: análisis profundo en SQL y Python, automatización de procesos, creación de dashboards y presentación de resultados a liderazgo.
  • ▸Destaca el uso de IA y LLMs en el análisis de datos, valorizando ideas basadas en datos por encima de la jerarquía.

Excellent written and spoken English

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¿Qué piden?

  • ✓Título universitario en disciplina analítica (ingeniería, ciencia de datos, economía)
  • ✓5+ años de experiencia en roles analíticos
  • ✓Curiosidad profunda para descubrir causas raíz y no solo resultados superficiales
  • ✓Experiencia práctica con LLMs o herramientas de IA en contexto de análisis
  • ✓Habilidades técnicas sólidas en SQL, Python/R y visualización de datos (Metabase como plus)
  • ✓Excelentes habilidades de comunicación oral y escrita en inglés

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

SQLPythonRMetabaseData LakeETLDashboardsData AnalysisData-Driven Decision MakingAI-powered tools

¿A quién escribirle en freenow?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

Location : Come and join us in Hamburg, Berlin or Barcelona! Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive. We are looking for a Senior Data Analyst (m/f/d) to collaborate with our operational squads. In this role you will be able to become an expert in our business and data analysis systems and environment to allow you to champion data-driven decisions as part of the Data Operations team. Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate analysts who strive for excellence and like to have fun. Are you ready for your next ride? YOUR DAILY ADVENTURES WILL INCLUDE: • Focus on analysing and presenting recommendations/process changes/new initiatives to management using insights derived from data. • Use your technical skills such as actively engaging in configuration and programming in the data environment, querying data via SQL from the data lake, automating data processes, deep dive analysis in Python and adjusting ETL tasks. • Bringing new insights and championing them using your analyses, dashboards, and good storytelling! We value ideas over hierarchy, and there's always a new path to follow if your idea is convincing and well-backed with data. • Develop monitoring tools to measure performance and help the business achieve its objectives. • Create queries to answer operational and business questions across our many operational teams to support decisions. • Communicate results in a clear and impactful manner. TO BE SUCCESSFUL IN THIS ROLE: • Educated to Degree Level or higher in an analytical discipline such as Engineering, Computer Science or Economics • 5+ years of experience in an analytical role • You have curiosity in your essence, which motivates you to answer WHY things happened, not only scratching the surface, but aiming for well-founded actionable results • Curiosity about AI and its practical applications in analytics, experience using LLMs or AI-powered tools in a data context • Excellent technical skills including SQL knowledge, familiarity with visualisation tools (Metabase in particular is a plus) and python/R • Enthusiastic, outgoing and personable - you have the ability to think on your feet, work independently and also proactively with others to find solutions to issues • You understand how to engage and influence decision makers and have excellent communication skills • Driven - you are motivated to find solutions to problems and constantly go the extra mile • Strong communication and interpersonal skills as well as excellent written and spoken English BENEFITS & PERKS IN A NUTSHELL: • Flexible working arrangements • LinkedIn Learning • Sabbatical & special leave policies • WeRoad partnership • Birthday, 24th + 31st December off • Short term EU work policy • Mobility Credit • Health Insurance • Employee assistance program DIVERSITY, EQUITY & INCLUSION: FREE NOW is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age. We want you to grow and

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