1KOMMA5˚

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

Remote, United States remote Entry Salary not listed
remote Technology & IT Curated
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About the role

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 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

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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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT Data Analysis MySQL Operations Python SQL remote

Likely questions

  1. Tell us about work you have done that is close to the (Senior) Analytics Engineer (m/f/d) role.
  2. How would you approach your first 30 days at 1KOMMA5˚?
  3. Which of Data Analysis, MySQL and Operations have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, MySQL and Operations.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the (Senior) Analytics Engineer (m/f/d) role because I can bring practical experience in Data Analysis, MySQL and Operations, learn the team quickly, and contribute to the outcomes 1KOMMA5˚ needs from this hire.

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