Senior Analyst, Data Operations and Analytics (all genders)

Lightspeedhq·Berlinsenior

In short

→Analista senior que convierte preguntas de negocio en modelos de datos y dashboards útiles en el sector hospitality.
→Actúa como puente entre equipos técnicos, producto y negocio, priorizando claridad y calidad de datos.
→Destaca por su enfoque en mejorar procesos, estándares de datos y mentoría a junior.

Proficiency in English is required

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What they ask for

✓4+ años en roles analíticos con enfoque en operaciones de datos o BI.
✓Experiencia comprobada traduciendo necesidades de negocio en soluciones técnicas.
✓Habilidades avanzadas en SQL con manejo de múltiples fuentes de datos complejas.
✓Capacidad para desarrollar modelos de datos, informes y dashboards reutilizables.
✓Conocimiento del sector hospitality, finanzas o operaciones comerciales.
✓Acapacidad para comunicar hallazgos, limitaciones y recomendaciones con claridad.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

SQLData ModelsReportingDashboardsData QualityBusiness IntelligenceData OperationsAnalytical StandardsMachine Learning ModelsLarge Language Models (LLMs)

Who should you write to at Lightspeedhq?

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Hi there! Thanks for stopping by! 👋 Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place! We're looking for a savvy Senior Analyst, Data Operations & Analytics to join our Data Office in Berlin and serve as the ultimate bridge between data, product, and business teams across our Hospitality vertical. You'll turn complex business questions into clear insights, reusable data models, and reporting that help teams understand their customers and business, make better decisions, and improve operational performance. If you're ready to combine strong analytical judgment, product and business understanding, and technical expertise to elevate data standards, and make a lasting impact, this is the opportunity for you! Lightspeed empowers the businesses at the heart of our communities, from standout retailers to unforgettable restaurants to renowned golf courses. We are a global team who fuel ambitions with technology and insight. From online and in-person operations to multichannel sales, payments, inventory management and data-driven insights, Lightspeed helps businesses grow, deliver exceptional customer experiences and run smarter across all channels and locations. Join our driven, diverse and inclusive team to find your people, accelerate your career and create tangible solutions that help local businesses thrive. What you'll be responsible for: Develop a deep understanding of Hospitality’s business processes, systems, customers, and underlying data architecture to provide meaningful analysis and support operational excellence within the Pod. Develop exploratory and reusable data models leveraging diverse data sources, supporting business partners with insightful datasets, reporting, dashboards, and clear analytical recommendations. Translate complex and sometimes ambiguous stakeholder questions into well-defined analytical requirements, approaches, and solutions that address the underlying business need. Be the bridge between the Data Office and the broader Hospitality organization, turning complexity into clarity and ensuring clear communication of assumptions, findings, limitations, and implications. Identify opportunities to improve processes, systems, and data flows, and use analysis to help Hospitality teams make more informed and effective decisions. Monitor and improve data quality by investigating discrepancies at the source, documenting findings, communicating impact, and driving continuous improvement across the relevant teams. Collaborate with the Data Office to establish analytical standards and best practices, improve documentation and definitions, and mentor junior team members. And a little bit of... Stay up to date with developments, innovations, and trends in data, including state-of-the-art machine learning models and large language models (LLMs). Contributing as part of the wider team to achieve organisational objectives even if this means doing things that aren’t strictly within the scope of your role. Who you are: 4+ years in an analytical role, with strong experience in data operations, business intelligence, reporting, or process optimization. Strong experience translating business stakeholder challenges and needs into technical requirements, analytical approaches, and practical solutions. Excellent SQL skills, with the ability to work across complex data structures and multiple data sources; willingness to learn new tools and data systems. Experience developing data models, datasets, dashboards, and reporting that are accurate, reusable, and accessible to business partners. Experience in Hospitality, Finance, Accounting, Revenue Operations, Sales, or another operational business environment will give you a head start. Strong business acumen and a knack for bridging the gap between technical challenges, analytical findings, and business strategy.

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