Analytics Engineering Intern

Resumen del puesto
Prácticas(6 meses)
Paris
Salario: No especificado
Fecha de inicio: 30 de abril de 2024
Teletrabajo ocasional
Experiencia: < 6 meses
Formación: Licenciatura / Máster
Competencias y conocimientos
Análisis de datos
Capacidad de comunicación
Analítica
Colaboración y trabajo en equipo
Análisis de resultados
+3

Sport Heroes
Sport Heroes

¿Te interesa esta oferta?

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El puesto

Descripción del puesto

As our Analytics Engineering intern, you will be a key member of our Data Team, sitting right in the Product department. You will be reporting to our Data Team Lead as your N+1, and to our CPO as your N+2.

Responsibilities:

  • Product Performance Analysis:

    • Dive deep into the analysis of user engagement and product features to uncover insights.

    • Collaborate on crafting cutting-edge reporting tools, dashboards, and visualizations that vividly depict product impacts, enabling informed and data-driven decisions.

      Analytics Engineering:

    • Play an active role in curating and refining data sources and models to uphold exceptional data quality.

    • Dive into unique data inquiries, delivering actionable insights that cater to a variety of business needs.

    • Contribute creatively to documenting data models, data flows, and innovative analytics solutions.

      Fostering a Data-Driven Culture:

    • Actively participate in driving initiatives that champion a data-centric culture within Sport Heroes, inspiring colleagues to harness the power of data in their roles.


Requisitos

  • Currently enrolled in a Bachelor’s or Master’s program in Data Analyst, Data Engineering or a related field.

  • Basic understanding of data analysis techniques and tools.

  • High proficiency with SQL and some knowledge about Python & data visualization tools is preferred.

  • Curious & Eagerness to learn about data modeling, data structure & data management.

  • Strong communication skills, with the ability to present data insights clearly.

  • Excellent problem-solving abilities and a proactive approach to tasks.

  • Ability to work collaboratively in a team environment.

  • Fluent in english & french


Proceso de selección

If, like us, you feel a good connection, you will meet:

  • Team Lead Data - 30 minutes (to validate the practical aspects of the internship + Q&A, soft skills assessment)

  • Team Lead Data - 60 minutes (Q&A on technical cases and hard skills evaluation)

  • Martin, CPO - 30 minutes (discussions about culture, future team projects, and sharing the company’s values, you’re almost there!)

Employee benefits

  • MacBook

  • 8 days home-office per month

  • Swile

  • Navigo - 50%

  • Benefiz Health insurance - 60%

  • Moka.care

  • United Heroes

  • Sports coach classes

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