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Data Analyst

extra holidays - fully flexible
Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
Ireland

Offer summary

Qualifications:

3+ years experience in Data Analyst role in a B2B environment, BS, MS or PhD degree in relevant technical field, Proficient in SQL, GIT, and Python.

Key responsabilities:

  • Explore data to extract insights
  • Create reporting dashboards and maintain them
  • Communicate results to different groups
CitySwift logo
CitySwift Scaleup https://cityswift.com/
51 - 200 Employees
About CitySwift
CitySwift is a big data company that powers major bus networks across the globe. Since its inception, CitySwift has built the world's first Mobility Intelligence as a Service platform, offering bus network providers the precise insights they need to quickly adapt and operate their networks for efficiency, profitability, and growth. The CitySwift platform was built to break down all of the barriers to data that bus network providers have to deal with. CitySwift partners no longer take action based on manual analysis, guesswork, and inaccessible and unreliable data. Instead, they meet and exceed punctuality and reliability goals, without compromising on resources. Working with leading operators and public sector authorities globally, the CitySwift team blends real-world bus industry experience with a deep knowledge of data science to give bus networks the best of both worlds. CitySwift uses AI and machine learning to accurately predict journey times and passenger demand, creating optimised timetables that take into account traffic, events and hundreds of other external factors, ensuring on-time performance and increased passenger satisfaction. Customisable management dashboards deliver business intelligence and enable tracking of KPIs. Improve the efficiency of your network and ensure every bus is where your passengers expect it to be, with data-driven decision-making from CitySwift.
See more CitySwift offers

Job description

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)

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Google Cloud Platform (GCP)SQL (Programming Language)Looker AnalyticsLookbookGit (Version Control System)Python (Programming Language)Data Modeling

Other Skills

  • Verbal Communication Skills
  • Analytical Thinking
  • Teamwork
Are you interested?

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