At Easy Park, we love cities. We love them for work, for play and everything in between. That’s why our mission is to make life in cities that much easier – by taking care of the parking. With the use of technology, we break barriers, helping improve the urban experience. Our aim is to create a scenario where parking supply and driver demand are balanced not due to additional parking spots and fewer cars, but thanks to predictive technology that connects our users to available spots.

The Role
Are you prepared to lead the charge in transforming cities and empowering private parking operators within an entrepreneurial and international environment? Do you want to be a critical part of transforming Easy Park from being data informed to being truly data driven? At Easy Park, we're on a mission to make cities more liveable and we want you to be a key player in this journey.
Within the Analytics function we combine consumer behaviour data and parking domain data to continually enhance our decision-making processes, all while providing an outstanding customer experience. Our core values - being curious, playing together and progressing inch by inch - drive us to listen to understand, challenge assumptions and focus on making a meaningful impact.
The Product Analyst role is a technical position reporting to the Product Analytics Lead within the Analytics function. Your mission will be to empower product teams with data-driven insights, helping them make informed decisions. You'll work closely with these teams to uncover key insights about user behaviour, user journeys, churn and product usage. Alongside other teams in the Analytics function, you'll also advocate for data quality, data literacy and a strong data culture at Easy Park.


You will contribute & make an impact through:

• Data Analysis: Uncover valuable insights through quantitative data analysis.
  
• Insight Synthesis: Transform analytical insights into practical recommendations to guide key business decisions.
  
• Product Analysis: Conduct thorough product analysis by defining metrics, segmenting users, experimenting (A/B testing), performing funnel analysis and other exploratory analysis.
  
• Team Empowerment: Coach and enable product teams to use data analytics tools effectively for decision-making.
  
• Strategic Recommendations: Provide data-driven recommendations to challenge decisions, guide strategic changes and identify new opportunities.
  
• Clear Communication: Present insights and findings clearly to cross-functional team members and management.
  
• Product Discovery: Engage in product discovery to identify gaps where data can provide solutions.
  
• Customer Journey Exploration: Collaborate with product managers, designers, and UX researchers to deeply explore customer journeys and extract actionable insights.
  
• Data Utilisation: Support product teams in effectively using usage, conversion and retention data to enhance conversion rates and create a seamless customer experience.
  

About you
We don’t know you yet, but you might recognize yourself in the following:

• You are curious and passionate in connecting data and business through advanced analytics.
  
• You enjoy working in teams where you collaborate and support each other to reach the team goals.
  
• You think of yourself as self-driven and continuously wanting to find better solutions.
  
• You are capable of zooming out to see the bigger picture and zooming in to dive into details when needed.
  
• You find continuous learning fun and important as well as sharing your learnings.
  
• You are equipped with solution finding skills to navigate constant changes in a fast-growing company.
  

Your background
We don’t think one size fits all, but a successful candidate might have the following:

• BSc in Engineering, Statistics, Mathematics or any other maths-oriented discipline
  
• 3+ years of experience working as a Data/Product Analyst or a similar role
  
• Advanced SQL skills
  
• Experience with product analytics tools (Mixpanel, Amplitude etc.)
  
• Experience defining events for analysing user interaction
  
• Experience using data visualisation tools (Looker, Power BI, Tableau etc.)
  
• English is our business language, so we expect you to be very used to and comfortable both speaking and writing in English
  

Great to have but not essential

• Experience supporting A/B test execution with a basic understanding of testing and experimental design
  
• Experience in using Google Workspace
  
• Familiarity with DBT
  
• Familiarity with Python
  

The place of work for this position is at the Easy Park office in Stockholm, Sweden or at the Easy Park office in Amsterdam, Netherlands.


Life at Easy Park
We are a values-driven company with an international culture and a global presence. By providing an environment with space to grow and room for autonomy, we believe in encouraging and supporting our team members to take initiatives and act outside of their comfort zone. To have an open mind and embracing change is a part of our DNA. At Easy Park we are dedicated to maintaining an open culture where the voice of each person is heard, and we play as one team across the globe. Diversity is something we celebrate and we are committed to creating an inclusive environment for everyone.