Job Description
Job Overview
As a Data Analyst & Engineer at Octopus Energy, you will be a driving force in generating valuable business insights from our data and automating recurring processes. Your main focus will be on extracting, processing, and communicating insights from our business and smart meter data, as well as identifying and implementing automation potentials to significantly improve our products and processes, enabling data-driven decision-making.
Technical Requirements
Required Skills
- • Python
- • SQL
- • pandas
- • NumPy
- • Data Analysis
- • Automation
Preferred Skills
- • Airflow
- • dbt
- • Databricks
- • Spark
- • RPA Solutions
- • UiPath
- • Power Automate
Experience Level
Intermediate to Advanced
Responsibilities
- • Analyze smart meter and business data, identify patterns, and derive actionable recommendations
- • Support the metering team through data-driven process analyses and identify optimization potentials
- • Prepare insights in a target group-oriented manner, such as dashboards, presentations, or interactive apps
- • Help business users understand data and make informed decisions
- • Develop, automate, and monitor data pipelines using tools like Apache Airflow
- • Model data with dbt and ensure clean structures in our data lake and warehouse
- • Continuously improve data availability and quality
- • Identify manual, recurring tasks and develop automation solutions using Python and RPA tools
- • Develop, implement, and operate RPA bots to enhance data-driven processes
- • Collaborate closely with departments to understand their requirements and develop pragmatic solutions
Benefits & Perks
- • Stock options of Octopus Energy Group Ltd.
- • Monthly subsidy for public transport ticket
- • Monthly subsidy for lunch
- • Discounted bicycle leasing
- • Company pension scheme
- • Childcare support and monthly subsidy for childcare
- • Fitness program contributions
- • Mental well-being support
- • Attractive training and promotion opportunities
- • Free language courses
Additional Information
- Location
-
Berlin, Munich (Germany)
- Type
-
Full-time, Hybrid
- Compensation
-
Not specified