CitySwift is looking for a Data Analyst to join our rapidly growing team.

As the world's leading data platform for public transport, CitySwift powers data-driven decision making for some of the largest transport networks across the globe. Backed by over €15 million in venture capital funding and a partner list that includes the world's largest public transportation operators and government authorities, such as National Express, Go-Ahead Group, Transport for London and many more, CitySwift is in accelerated growth mode with 100% YOY revenue growth and 150% growth in new customers in 2023.

CitySwift’s mission is to increase the adoption of sustainable public transportation usage around the world - our platform currently optimises over 1 billion passenger journeys annually, and our target is to reach over 10 billion by 2026.

At CitySwift, you’ll get the opportunity to take ownership, deliver measurable impact and develop professionally - reshape the future of public transport by accelerating CitySwift’s growth.

About the role

Reporting to the Director of Analytics, as a Data Analyst at CitySwift, you will be a key member of the Analytics Team, working closely with data, application and product managers. You will be integral in completing in-depth technical analysis and presenting results both internally and externally.

Key responsibilities

• Explore massive amounts of data including geographical data and perform large-scale analysis to extract useful insights
• Create and maintain reporting dashboards that track key metrics
• Identify actionable insights, suggest recommendations and influence the direction of the business and our customers by effectively communicating results to cross functional groups
• Expand our data warehouse with clean data ready for analysis
• Suggest improvements in the tools and techniques to help scale the team

Key skills

Essential

• 3 years experience in a Data Analyst role ideally within a fast paced, B2B environment.
• Hold a BS, MS or PhD degree in Computer Science, Applied Mathematics, Statistics, Industrial Engineer, Operations Research, or related technical field from an academic institution.
• Experience in solving analytical problems using quantitative approaches (or equivalent).
• Highly proficient in SQL.
• Comfortable working with GIT and Python.
• Proven ability to extract insights from data.
• Effective communicator who can clearly explain complex topics to a wide variety of audiences.
• Experience working with Data warehouses especially cloud based platforms such as GCP.

Desirable

• Knowledge of data modelling.
• Looker and LookML experience.

We value, recognise and reward our people

• Competitive market salary
• Health and Life Insurance and matched pension schemes
• 25 days annual leave, with additional company days off throughout the year
• Flexible working hours and hybrid/remote working opportunities including Work Abroad Program
• Paid Sick, Maternity and paternity benefits
• Employee Assistance Programme (EAP), mental health and wellbeing supports
• Employee referral program with opportunity to earn up to €4,000 per referral
• Annual Service recognition benefits (Additional Annual leave and pension contributions)