Lead Data Analyst

extra holidays - fully flexible
Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor's, Master's, or PhD in a technical field like Computer Science, Mathematics, or Engineering., At least 5 years of experience in a Data Analytics role managing end-to-end projects., Proficiency in SQL and experience with cloud-based data warehouses such as BigQuery, Snowflake, or Redshift., Skilled in designing dashboards and reports using tools like Looker, Tableau, or Power BI..

Key responsibilities:

  • Lead exploration and analysis of complex datasets to identify trends and insights.
  • Design and develop dashboards and reports to monitor key metrics.
  • Oversee the delivery of analytics projects ensuring they meet business goals and stakeholder needs.
  • Communicate findings effectively to cross-functional teams and support team members through mentoring.

CitySwift logo
CitySwift Scaleup https://cityswift.com/
51 - 200 Employees
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Job description

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

As the worlds leading intelligent data platform for public transport, CitySwift powers datadriven 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 worlds largest public transportation operators and government authorities, such as National Express, GoAhead Group, Transport for London and many more. CitySwift is in accelerated growth mode with 200% YOY revenue growth in 2024.

CitySwift’s mission is to increase the adoption of sustainable public transportation usage around the world our platform currently optimises over 3 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

You will be a lead in the Data Analytics team, with a mix of technical and project management responsibilities. You will work effectively with data engineers, software engineers, data scientists, product managers and commercial stakeholders. You will be integral in completing indepth technical analysis, presenting results, liaising with stakeholders and ensuring the timely and effective delivery of projects.

Key Responsibilities

  • Lead exploration of complex datasets (including geospatial data) to uncover trends and insights
  • Design, develop and own dashboards and reports that track key business and operational metrics
  • Oversee the endtoend delivery of analytics initiatives ensuring they meet business objectives and stakeholder needs
  • Act as a point of contact for project updates, managing expectations and ensuring clear communication across all relevant stakeholders
  • Identify potential roadblocks in project delivery and proactively implement solutions to mitigate risks and ensure successful outcomes
  • Engineer robust data pipelines and transformation workflows to ensure reliable, highquality data is readily available for analytics and decisionmaking
  • Identify actionable insights, suggest recommendations and influence the direction of the business and our customers by effectively communicating results to cross functional groups
  • Mentor and support team members, conducting code reviews, pairing sessions and workshops to cultivate a collaborative culture
    • Required Skills & Experience

      • 5+ years experience in a Data Analytics role managing endtoend projects, ideally within a fast paced B2B environment
      • Hold a BS, MS or PhD degree in Computer Science, Mathematics, Statistics, Engineering, Science or other related technical field
      • Highly proficient in SQL and familiar working with cloudbased datawarehouses (e.g. BigQuery, Snowflake, Redshift)
      • Skilled at designing, building and maintaining dashboards and reports using Looker, Tableau, Power BI or similar tools
      • Demonstrated experience managing and delivering analytics initiatives in production environments
      • Ability to translate complex analyses into clear, actionable insights
      • Effective communicator who can clearly explain complex topics to a variety of audiences
        • 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 hybridremote 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)
            • #LIHybrid

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Mentorship
  • Collaboration
  • Communication

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