Data Analyst

• Support the team to deliver data analyses and data visualizations to steer the development of relevant metrics and the discovery of business opportunities.
• Use data modeling techniques to forecast demand and customer behavior.
• Design and maintain dashboards and reports that provide insights into key performance indicators and business performance.
• Collaborate with cross-functional teams to understand business needs, identify relevant data, and implement data-driven solutions.
• Contribute to the development of existing ETLs to optimize the reliability and profitability of our growing fleet.
  

• Bachelor's or master’s degree in data analytics, statistics, mathematics, computer science, social science research, or similar field.
• Strong knowledge of data analysis tools (Excel, SQL, Power BI, Tableau, Looker) and confidence with Python scripting.
• Ability to extract insights from raw data and understand database architecture, data landscapes, and warehouses.
• Strong analytical skills to identify problems, analyze data, and provide valuable insights within organizational and industry contexts.
• Proactive approach to problem-solving with a result focused attitude. 
• The ability to work in a fast-paced and highly collaborative environment.
• Willingness to take initiative, and to ensure high quality standards.
• Fluency in both written and verbal English.
  

• Flat hierarchies with an efficient decision-making processes without red tape.
• The opportunity to play a key role in shaping the mobility revolution.
• Be part of an international and dynamic team of more than 20 nationalities.
• Enjoy a remote-friendly environment with  flexible options, you choose whether to work entirely from home, in one of our offices or a mix that suits you and you have the possibility of workation within the EU, plus 30 vacation days.
• Regular company and team events outside of the office to disconnect from our computers and reconnect with colleagues on hikes, mountain e-bike tours, offsites and more.
• Personal and professional development through in-house lunch & learn sessions, collaborative coding challenge discussions, as well as externally provided training, courses and conferences.
  

Equal Opportunities:

We strive to eliminate discrimination,  remove barriers and ensure equal opportunity through a transparent recruitment process. We are fully committed to fostering an inclusive and respectful work environment where everyone can succeed.  At Park&Charge everyone is welcomed regardless of cultural background, creed, race, sexual orientation, colour or  gender expression.