Data Analytics Engineer - CPI Team

at  Monta

MONTA’S POWERFUL EV PLATFORM CONNECTS THE DOTS IN THE ENTIRE EV CHARGING INDUSTRY.

We are looking for a talented Staff Data Scientist to join our team in Copenhagen. As a Staff Data Scientist at Monta, you will spearhead our modeling and algo efforts. This includes cool stuff like our Smart Charge algo or Fair Price Recommendation Engine. If this sounds like you, we’re looking forward to seeing your application!
We’ve closed a huge Series B round! 80M EUR and soaring! Our journey so far? An expansion across various markets, prestigious #ISO27001 and B-Corp certifications, and proactive tech revolutionizing the EV charging experience. Not to mention, our growth has skyrocketed 6X since the last round, nearing 1 million monthly charging sessions, and 1,000 #EV drivers joining us daily! Monta will use the EUR 80M funding to double down on its successful software-only strategy by strengthening investments in all markets and improving and expanding its product to new sectors ready to embark on an electrified future.
We are looking for a talented Data Analytics Engineer to join our team in Copenhagen. As a Senior Data Analytics Engineer at Monta, you will be the analytical spearhead in our Charge Point Integration group. The overarching purpose of this role is to use data to create insights and enhance our product. If this sounds like you, we’re looking forward to seeing your application!

REQUIREMENTS

• A minimum of four years of relevant industry experience. Data engineering experience is more important than data analytics experience.
• Self-driven and able to independently own the analytics pipeline from ETL, over data modeling to visualization and reporting.
• Strong analytical and problem-solving skills, with a focus on attention to detail and the ability to identify and resolve complex data issues in a timely and effective manner.
• Good communication skills and the ability to question requirements from stakeholders.
• Experience in visualization software such as Tableau, PowerBI or Looker or similar technologies is a requirement.
• Proficiency and hands-on experience in SQL and Python is a must. We use DBT for our data modeling.
• Experience with Java or Kotlin is a big plus. Willingness to learn is a must.
• Experience with kubernetes, grafana, docker, etc. is a plus

• Build data models and operational dashboards in Snowflake and Tableau.
• Do deep dive analysis into specific data and identify root causes.
• Build a framework for analyzing CPI specific log-data.
• Use data tools & methods to help improve key KPIs such as number of failed charges.
• Collaborate with infrastructure and engineering to test and implement “big data” tools.
• Own CPI related data sources, data models and extracts.