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Data Analyst Engineer in Barcelona

Goin

Workplace
Onsite
Hours
Full-Time
Internship
Yes
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Job Description

Goin is one of the hottest fintech startups in Europe, with the mission to redefine how digital natives achieve their objectives through automatic saving and investing.

We know finance sucks, we want to be the go-to solution for the creation and fulfillment of goals, being an intelligent user-oriented advisor that will guide digital natives through their finances and help them achieve their dreams.

We work in an agile environment, have a wonderful office in the center of the sunny Barcelona, free snacks, and a core set of values:

  • Own the Unicorn 🦄: We want to be a game-changing company and all of us are responsible for it. Focus, ownership, ambition, commitment
  • Magic: Any sufficiently advanced technology is indistinguishable from magic. Be a company with personality. Be fresh.
  • In Darwin we trust: Never stop learning and evolving, always experiment. Be the best professionals in the market.
  • U.P.PE.R Respect: User, professional, personal and risk Respect.
  • User ergo goin: Satisfy and exceed user needs and desires. Make sure they achieve their goals.

We’re looking for a Data Analyst Engineer Intern to join our Data team. Our team works together with all departments in order to drive business impact and build a data-driven culture.

You should be familiar with the technical side of Data Analytics and Data Engineering, and at the same time able to think on a company-wide, strategic level. No legacy systems here: we’re working with the latest (mobile) technologies such as Mixpanel, Google Big Query and Data Studio.

We are looking for you if you…

  • have entrepreneurial spirit. You like to implement experiments analyzing results and taking actions on that in small iterations, trying to understand the problems the user might have with a minimal version and building the rest of the product using the feedback obtained.
    • are a team player. You understand the only way to have an exponential growth is to work together as a team.
    • always have quality in mind. You can easily detect whether a code is good or bad in terms of quality and you understand that building good code with strong testing is key to growth and sustainability.
    • have a user-centric mindset. When you create something, you care about the user who will use it and try to provide the best experience possible.
    • never settle. You always strive to develop personally and professionally, open to learn new things and share the ones you expertise.

    What will you do?

    • Understand the business needs and produce insightful analyses for stakeholders (Product, Marketing, Finance, Customer Care, …)
    • Own, design, develop, document, and manage scalable solutions for new and ongoing metrics and dashboards to support business needs.
    • Design and drive experiments to form actionable recommendations. Present to business leaders and drive decisions.
    • Improve internal processes and documentation.
    • Help colleagues to access to the right data and understand what it reveals
    • Translate product and marketing questions and hypotheses into analysis and actionable insights
    • Build hypothesis, collect data to either support or disprove the hypothesis and recommend solutions to help move a metric
    • Create and maintain an optimal data structure and pipeline architecture

    Preferred experience

    Preferred experience

    • Bachelor’s degree in Mathematics, Statistics, Engineering, or a related technical field
    • Knowledge of SQL, Data Modelling, Python and/or R
    • You are very organized with the ability to work on and lead multiple projects within tight timelines
    • Solid attention to detail
    • Very good communicator, in writing and verbally
    • Fluency in English

    Good-to-haves

    • Experience in GCP data services such as BigQuery, Cloud Storage, Cloud Composer, …
      • Experience in Product Analytics tools such as Mixpanel or Amplitude
      • Experience in Data Visualization tools such as Data Studio or Tableau
      • Motivated by fintech products and knowledgeable of the market

      Recruitment process

      3 Steps.

      • Video call interview with Head of Data (30’)
      • Take-Home Data Analyst test (1h)
      • Cultural fit with CEO (30’)

 

About Goin

  • Fintech

  • Barcelona, Spain

  • 11-50

  • 2017

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