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.
* 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.
* 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).
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