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(Senior) Analytics Engineer (m/f/d)

CompraTica Empleos

EMP:Marketing
Berlin
Tiempo Completo
Remoto
1 vistas

Descripción

1KOMMA5° At 1KOMMA5°, we pursue a clear vision: Living on wind and sunlight forever for free.

To make this a reality, we are building the energy system of the future with Heartbeat AI.

Want to be part of it? We bring together regional craftsmanship and scalable software: We don't think of solar, batteries, heat pumps, and e-mobility as isolated components, but control them as an intelligent, integrated overall system in our virtual power plant.

Directly connected to the electricity market – in real time, fully automated.

This way, energy is used when it is available from renewables and particularly cost-effective.

By 2030, our goal is to transition 1.

5 million households to renewable energies.

Over 3,000 people are working towards this every day, at more than 80 locations worldwide, from Finland to Australia.

Want to take responsibility and build solutions that truly matter? Apply now and help us shape the energy world of tomorrow.

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our Product & Tech team! Deine Position We are looking for an Analytics Engineer who enjoys building trusted data foundations and enabling teams to make better decisions, measure outcomes, and demonstrate the impact of their work

As an Analytics Engineer, you will Build and maintain scalable, production-grade data models and analytics foundations that power decision-making across our 7 international markets Partner with Product Managers and business stakeholders to define success metrics, evaluate product outcomes, and turn data into actionable insights Enable self-service analytics through trusted metrics, reusable semantic models, and scalable data products that help teams answer their own questions and demonstrate the impact of their work Leverage AI and modern analytics tooling to accelerate insight generation, improve analytics workflows, and enable stakeholders to interact with data more effectively Continuously improve our analytics platform through robust modeling, testing, documentation, and engineering best pract.

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