Impact Analytics Intern — Lisbon

Upya Technologies

Lisboa

Presencial

EUR 8900 - 13 000

Tempo integral

há 30 horas
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Resumo da oferta

Upya Technologies in Lisbon is seeking a dynamic Data Analytics Intern to join a fast-growing team focused on carbon offset solutions. The role is based in our Lisbon office and offers hands-on opportunities to analyze data sets and support decision making through a data-driven approach.

You will collaborate with sales, customer success, product, marketing, and tech to solve strategic problems and contribute to impactful projects that advance our mission to digitise last mile distribution and

Qualificações

  • Detail oriented and highly analytical.
  • Available to start asap and work full-time for 3-6 months
  • Written and spoken fluency in English required (French is a benefit)
  • Planning and Organization : Setting up and maintaining systems to appropriately structure and keep track of tasks and projects
  • Problem Solving : Effectively resolving issues that involve people, things, and processes by using logic and common sense
  • “Can do” attitude and team player
  • Strong communication, interpersonal and listening skills
  • Ability to work independently and collaborate with global teams

Responsabilidades

  • Solve key strategic problems through analytical frameworks and insights to advise the team on key decisions
  • Carry out desktop research aiming to improve our demand building, segmentation, customer operations and much more.
  • Collaborate and engage with a number of functions across the business – sales, customer success, product, marketing, and tech

Conhecimentos

Detail oriented
Analytical
English fluency
French is a bonus
Team player
Strong communication
Independent work
Problem solving

Descrição da oferta de emprego

Upya Technologies in Lisbon is seeking a dynamic Data Analytics Intern to join a fast-growing team focused on carbon offset solutions. The role is based in our Lisbon office and offers hands-on opportunities to analyze data sets and support decision making through a data-driven approach.

You will collaborate with sales, customer success, product, marketing, and tech to solve strategic problems and contribute to impactful projects that advance our mission to digitise last mile distribution and

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