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(Senior) Analytics Engineer (m/f/d) @ 1KOMMA5

RemoteRemoteFull-timeRemote applicants: GB, US, IE, CA, AU, DE, FR, NL, ES
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About this role

1KOMMA5° At <strong>1KOMMA5°</strong>, we pursue a clear vision: <strong>Living on wind and sunlight forever for free</strong>. To make this a reality, we are building the energy system of the future with Heartbeat AI. Want to be part of it?<br><br>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.<br><br><strong>Want to take responsibility and build solutions that truly matter? Apply now and help us shape the energy world of tomorrow.</strong><br><br>Learn <a href="https://1komma5.com/de/ueber-uns/jobs/tech/">more</a> about our Product &amp; Tech team! Deine Position We are looking for an <strong>Analytics Engineer</strong> who enjoys building trusted data foundations and enabling teams to make better decisions, measure outcomes, and demonstrate the impact of their work.<br>As an Analytics Engineer, you will<br><ul><li><strong>Build and maintain</strong> scalable, production-grade data models and analytics foundations that power decision-making across our 7 international markets</li><li><strong>Partner with</strong> Product Managers and business stakeholders to define success metrics, evaluate product outcomes, and turn data into actionable insights</li><li><strong>Enable self-service analytics</strong> through trusted metrics, reusable semantic models, and scalable data products that help teams answer their own questions and demonstrate the impact of their work</li><li><strong>Leverage AI and modern analytics tooling</strong> to accelerate insight generation, improve analytics workflows, and enable stakeholders to interact with data more effectively</li><li><strong>Continuously improve</strong> our analytics platform through robust modeling, testing, documentation, and engineering best practices</li></ul> Dein Profil <ul><li>Experience building and maintaining production data models using SQL and modern transformation tools (e.g. Dataform, SQLMesh or dbt)</li><li>Strong SQL skills and working knowledge of Python</li><li>Experience with BigQuery and a BI tool, ideally Looker</li><li>Comfortable partnering with Product Managers and business stakeholders to translate questions into scalable analytics solutions</li><li>A proactive, pragmatic mindset with strong communication skills and a passion for making data accessible and trustworthy</li></ul>Bonus points for:<br><ul><li>Exposure to data science or machine learning applications in a business context</li><li>Experience with product analytics, event tracking, funnel analysis or experimentation</li><li>Experience in fast-growing operational businesses (e.g. logistics, marketplaces or field services)</li></ul> Benefits <ul><li>You are part of an international, dynamic, and highly motivated team of people who have proven to make things happen</li><li>With your work, you accelerate the "energy transition" and hence have a direct impact on our climate</li><li>Work with and learn from other super-smart colleagues</li><li>You will enjoy direct contact with core decision-makers</li><li>You will enjoy the best chances of entering full-time in one of Europe’s most thriving scaleups</li><li>You work remotely (Germany-wide), with offices in Hamburg, Berlin or Munich</li><li>Create a healthy balance alongside your work and enjoy all the benefits of the EGYM Wellpass</li><li>Benefits and discounts are yours with Futurebens</li><li>Whether city bike or e-bike - be flexible with our job bike leasing and do something good for the environment at the same time</li></ul>

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