Data Analyst supporting the operation of virtual power plants at DieEnergiekoppler GmbH. Analyze data, improve marketing potential, and support client operations in an agile environment.
About the role
- Data Analyst responsible for collecting, analyzing, and presenting data insights at Purple. Collaborating with teams to enhance data governance and support customer-facing analytics.
Responsibilities
- Collecting, organizing, analyzing, and presenting data to help Purple and our customers answer key business questions through visualizations, dashboards, and reports.
- Pipeline Monitoring: Monitor automated workflows in Cloud Composer (Airflow), identifying failures and re-running jobs to ensure data availability.
- Data Modelling: Maintain and enhance our data warehouse (built on BigQuery) using dbt.
- Internal Analytics: Develop and maintain internal dashboards using Looker to provide insights to the wider business.
- Customer Analytics: Support our customer-facing analytics offering via embedded GoodData dashboards.
- Deep-Dive Analysis: Write complex SQL queries to analyze large amounts of information, discovering trends and patterns.
- Collaboration: Coordinate with different functional teams to identify where the data team can aid their workflows and ensure stakeholders get value from projects delivered.
- Data Governance: Handle data in a safe and secure manner.
Requirements
- Ideally 2/3+ years of experience in a data analysis role.
- SQL: Strong proficiency in writing complex SQL queries is essential.
- Transformation (dbt): Experience with dbt is beneficial. However, since our warehouse is SQL-based, we are happy to teach dbt if you have strong SQL skills and a willingness to learn.
- Visualization: Experience building dashboards in BI tools (e.g., Looker, Tableau, PowerBI). Experience with Looker is preferred.
- Cloud Platform: Familiarity with the Google Cloud Platform (GCP) ecosystem, specifically BigQuery, is a plus but not essential.
- Spreadsheets: Proficiency in Google Sheets (or Excel) to manipulate and analyze data quickly.
- Scripting: Basic knowledge of Python for data transformation and analysis is useful.
Benefits
- Competitive salary + performance bonus
- Hybrid working - the best of both worlds
- Emphasis on learning and development to progress your career
- 25 days holiday (plus bank holidays) and the option to buy extra days
- 4 volunteering days each year - give something back to the community
- Life insurance at 2 x salary
- Employee Assistance Programme, 24/7 helpline
- Company pension, 4% employer contribution
- Private Healthcare & Long Term Incentive Plan after 12 months’ service
Job title
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