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Client Data & Analytics Lead (f/m/d)

Kraken · Berlin, Germanysenior

In short

  • ▸Líder técnico en análisis de datos para clientes en transformación energética.
  • ▸Trabajas directamente con clientes para construir capacidades de análisis con datos de Kraken, combinando consultas técnicas y capacitación.
  • ▸Destaca liderar la transformación de equipos de datos y alinear estrategias con objetivos de sostenibilidad.

Fluent English required for client and team collaboration

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What they ask for

  • ✓Experiencia comprobada en análisis de datos o inteligencia de negocio
  • ✓Habilidades avanzadas en escritura de consultas (SQL)
  • ✓Experiencia en entrega de valor a clientes en entornos tecnológicos
  • ✓Capacidad para liderar y capacitar equipos de datos
  • ✓Conocimiento del sector energético (deseable, no obligatorio)
  • ✓Experiencia en estrategias de datos y transformación digital

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

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Who should you write to at Kraken?

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Help us use technology to make a big green dent in the universe! Kraken powers some of the most innovative global developments in energy. We create the technology that redefines utilities and unlocks a new energy system of the future. By optimising renewable generation, building a more intelligent grid, and empowering utilities to deliver an exceptional customer experience, our operating system is transforming the industry worldwide. It’s an incredibly exciting time to work in energy. Join us on our mission to improve the lives of ONE BILLION humans within the decade and shape a cleaner, better future for everyone. Kraken Customer What we do: build the most AI-driven, innovative, forward-thinking platform for energy management. From optimizing resources to delivering cost-effective, exceptional customer experiences through advanced Customer Information Systems (CIS), billing, meter data management, CRM, and AI-driven communications, Kraken is powering the next wave of innovation in the energy industry. Why we do it: future energy will not look like energy as we know it today. We need to not just think about our future, but build for it. Now. 🏠 Where you'll fit in: We’re looking for a brilliant senior Data & Analytics Client Delivery Lead to help clients fully leverage Kraken data and transform their data team and capabilities. , data analytics, business intelligence, or related field -- analytics manager, lead data analyst, analytics or data consultant or similar); a love of working with clients; and a passion for driving the clean energy transition – energy sector experience is a plus! The role You’ll work directly with Kraken clients to help them develop modern, transformative data and analytics capabilities as part of their broader Kraken transformation. You’ll train them on Kraken data and support them in building critical reporting & insightful analytics, sometimes getting hands-on with query writing or demo analytics. You’ll also leverage your experience leading strong analytics teams to advise senior client data leadership on how to build a high-performing, business-centric data organization and leverage data as a strategic asset to unlock ambitious business and clean energy goals. We are a flat and agile organisation and plan to remain this way. We are looking for a hands-on Data & Analytics Client Delivery Lead that can support both directly and indirectly - sometimes jumping in and writing queries or solving data challenges and other times advising or upskilling both clients and colleagues. You will play a critical role in ensuring the clients’ reporting and analytics transition to Kraken goes smoothly - and ensuring that clients build the transformative data capabilities needed to get full value from Kraken data and power aspirational business goals. 🚀 What you'll own: Guide clients in redefining critical reporting and analytics to use new Kraken data and concepts, through hands-on query writing, working sessions, and trainings Advise clients, including senior leadership, on topics like how to develop a high-performing data organization, how to build a modern tech stack, and how to pursue a data strategy and priorities that drive their core business objectives.

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