Analytics Engineer

About the role

CitySwift is looking for an Analytics Engineer to ensure every data user works from a single, high‑quality source of truth. You will bring software‑engineering best practices to data warehousing, building scalable models that power real‑time insights for large public‑transport operators.

Key responsibilities

• Design and build data models that solve business problems while following team conventions and best practices.
• Create and maintain semantic‑layer views that feed customer‑facing analytics, dashboards and AI tools.
• Develop reusable, scalable dashboards for internal and external users.
• Collaborate with engineering teams to understand how analytics are surfaced within products and follow agreed deployment processes.
• Partner with commercial stakeholders to understand core metrics, respond to data requests and promote data‑driven decision‑making.
• Share knowledge with peers, seek guidance from senior colleagues and adhere to documentation standards.

Required profile

• 3+ years of experience in a data‑centric role such as analytics, data engineering or business intelligence.
• Strong understanding of commercial metrics and KPIs in a B2B environment.
• Ability to work collaboratively across product, engineering and commercial teams.

Required skills

• Git version‑control workflows and pull‑request processes.
• Data modeling and data‑warehousing concepts.
• SQL for building and querying semantic‑layer views.
• BI development and dashboard creation.
• Testing and continuous integration practices for data pipelines.