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Data Analytics Engineer - CPI Team

Monta ApS



Data Analytics Engineer - CPI Team

Description
Monta's powerful EV platform connects the dots in the entire EV charging industry.
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!

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.

Key Responsibilities

  • 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.

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

Benefits

  • 3 annual company-wide events (including 3 day Summit) plus team events - both in-person and virtually.
  • Flexible Work From Home policy.
  • Warrant program - share Monta’s success!
  • Vacation days are 30 days (5 weeks + 5 top up days!)
  • Educational budget + time off for personal/professional development.
  • Shared company car + electric bikes in our bigger offices.
  • Stay fit with a subsidized gym membership.
  • Free snacks & beverages at the offices.
  • Subsidized plant-based lunch.
  • Pension + Health Insurance.
  • Paid parental leave.

Please send your resume in English.
This role demands proficient English language skills for professional verbal and written communication. As Monta is a globally active company, the effective performance of duties in this position necessitates frequent and regular interactions with colleagues and partners around the world, predominantly in English.

Monta does not accept unsolicited resumes from headhunters or recruitment agencies. Unsolicited resumes sent to Monta or to our employees are considered to be the property of Monta, and we will not agree to payment of any referral compensation or recruiter fee in the absence of a signed agreement.

Find out more by visiting https://monta.com/uk/careers/

Copenhagen

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Monta ApS

Middelfartgade 15, 3.,, 2100 København Ø

At Monta, we want to accelerate the adoption of electric vehicles (EVs) by bringing technology into the charging experience. Founded in 2020, we were born out of frustration with the EV market. How is it possible to drive around in an electric car packed with cutting-edge technology, while the charging experience is limited to practically a start and stop function?

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