In Japan, we’re at the start of our mission, so you’ll get to work with every team and across the whole data lifecycle. To begin with, your focus will be building out analytics: reports and dashboards (and the data pipelines that feed them) to understand operations, sales and marketing. We’re proud of our analytics platform, and it’s the first time we’re expanding it to a new country, so you’ll help to define best practices for internationalisation. You’ll become a domain expert, supporting management’s questions, and most importantly, making sure the right questions are being asked.
As the business grows, you’ll need to forecast customer contact volumes and help the commercial team design innovative tariffs. As a Japanese speaker, you will become the ambassador in Japan for Octopus’ global data culture.
What you’ll have
- You don’t need prior energy supplier experience (we can teach you that)
- Passionate about working in energy and contributing to the energy transition
- Conversational Japanese Skills
- Curious and self-driven - as an early data employee, its essential you have the initiative to make decisions yourself, and can find solutions to novel problems without lots of help and support
- Highly data literate and numerate - can make sense of lots of data and shape it into a coherent story
- Learns fast and is enthusiastic about learning new technologies
- Has an engineering mindset - passionate about building robust tools, and has experience with some of the below technologies:
- Python
- Writing queries in SQL
- Building reports and dashboards in a BI tool (ideally Tableau)
- Statistical modelling & time series forecasting
Our data stack
- AWS cloud infrastructure
- Databricks Delta Lake for data lake and warehouse storage and querying
- dbt for data modelling and transformations
- Spark for large data processing
- Python data ecosystem as main scripting and analytics language
- Jupyter and Jupyter Hub for notebook analytics and collaboration
- Airflow for task scheduling
- Kubernetes for data services and task orchestration
- Github, Circle CI, Grafana and Prometheus for version control, deployment and monitoring
- Tableau and Streamlit as data front ends
