Data Analyst

at  EasyPark Group

At EasyPark, 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.

DBT

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

We are looking for a candidate with a strong background in data analysis and a passion for uncovering insights that drive business value. You should be eager to learn, open to new ideas, and ready to challenge the status quo. You thrive on deep diving into data, structuring tables for immediate business consumption, and continuously looking for ways to improve both your skills and the business.

• Education and Experience:
• Bachelor’s degree in Business Administration, Project Management, Data Science, or a related field.
• 2-3 years of experience in data and business analysis.
• Technical Skills:
• Proficiency in data visualization tools (e.g., Looker, MixPanel, Power BI).
• Strong SQL skills for data querying and manipulation.
• Analytical Skills:
• Strong analytical and problem-solving skills.
• Ability to interpret complex data sets and provide actionable insights.
• High attention to detail and commitment to data accuracy.
• Communication Skills:
• Excellent communication and interpersonal skills.
• Ability to explain technical information to non-technical stakeholders clearly.
• Strong presentation skills.

This role can be based in our Stockholm, Sweden or Amsterdam, Netherlands offices.

THE ROLE

As a Data Analyst in the Business Analytics Team, you will be instrumental in enabling data-driven decision-making across the organization. Your primary responsibility will be to gather, analyze, and interpret data to provide actionable insights that enhance business processes and outcomes. You will work closely with other teams within the Analytics function, including Product Analytics, Analytics Engineering, and Data Science, as well as mission owners and the Data Platform team, to curate and deliver self-service analytics that drive business actions and support data literacy across the organization.
In the Business Analytics team, we support all functions to meet their data needs, including; Marketing, Finance, Sales, Product, Technology, and People & Culture. As the team grows, team members will have certain focuses, as well as the chance to explore other areas.

RESPONSIBILITIES:

• Data Collection and Management:
• Translate business needs into actionable data reports.
• Collaborate with the Analytics team to maintain a single source of truth for data management.
• Promote and enhance data literacy across different teams.
• Analysis and Reporting:
• Conduct thorough analysis of data to identify trends, patterns, and areas for improvement.
• Create and maintain dashboards and reports to monitor key performance indicators (KPIs).
• Develop both regular and ad-hoc reports to support decision-making across teams.
• Insights and Recommendations:
• Work with various teams to provide actionable insights that improve business processes and operations.
• Implement data-driven improvements to enhance overall business performance.
• Help the company understand performance through comprehensive data analysis.
• Collaboration and Communication:
• Collaborate with various functions to integrate data with broader company data and identify improvement opportunities.
• Present findings and recommendations to stakeholders in a clear, concise, and engaging manner.
• Train and support team members in using data analysis tools and interpreting data.
• Continuous Improvement and Learning:
• Stay updated with the latest data analysis techniques, tools, and industry best practices.
• Continuously seek opportunities to improve data collection and analysis processes.
• Participate in improvement projects and initiatives across the organization.
• Be open to learning new skills and adapting to evolving business needs and technologies.
• Technical Responsibilities:
• Perform exploratory analysis to help stakeholders understand their business problems.
• Deliver high-quality insights and integrate them into decision-making processes when needed.
• Understand the business logic behind data generation and transformation.
• Communicate insights through dashboards, visualizations, and presentations.
• Take responsibility for data modeling in your focused domain.
• Identify and report data quality issues to the data quality lead promptly.