(Senior) Analytics Engineer (m/f/d)
1Komma5Grad · Remote
What this role requires
3 requirements, read out of the advert rather than guessed from the job title:
Also mentioned, not required: Looker, Dataform, SQLMesh, dbt, English (B2). Worth having, but their absence is not what gets a CV filtered out.
See how often each of these is required across open data roles in Europe.
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Job description
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. Learn more about 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 practices
Read the full description (18 more sections)Show less
Dein Profil Experience building and maintaining production data models using SQL and modern transformation tools (e.g. Dataform, SQLMesh or dbt)
Strong SQL skills and working knowledge of Python
Experience with BigQuery and a BI tool, ideally Looker
Comfortable partnering with Product Managers and business stakeholders to translate questions into scalable analytics solutions
A proactive, pragmatic mindset with strong communication skills and a passion for making data accessible and trustworthy
Bonus points for: Exposure to data science or machine learning applications in a business context
Experience with product analytics, event tracking, funnel analysis or experimentation
Experience in fast-growing operational businesses (e.g. logistics, marketplaces or field services)
Benefits You are part of an international, dynamic, and highly motivated team of people who have proven to make things happen
With your work, you accelerate the "energy transition" and hence have a direct impact on our climate
Work with and learn from other super-smart colleagues
You will enjoy direct contact with core decision-makers
You will enjoy the best chances of entering full-time in one of Europe’s most thriving scaleups
You work remotely (Germany-wide), with offices in Hamburg, Berlin or Munich
Create a healthy balance alongside your work and enjoy all the benefits of the EGYM Wellpass
Benefits and discounts are yours with Futurebens
Whether city bike or e-bike - be flexible with our job bike leasing and do something good for the environment at the same time
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