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
- Fluent in Cantonese.
- 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)
1 applies
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