Data Analyst - Madrid, España - Open League

Open League
Open League
Empresa verificada
Madrid, España

hace 3 semanas

Isabel García

Publicado por:

Isabel García

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Descripción

TOMO - The World Finest Luxury Water Bottle


Founded in 2020, TOMO has established itself as a leading luxury drinkware brand, which is focused on impeccable craftsmanship and outstanding design.


Calling all DATA ANALYSTS \uD83C\uDF1F


Here's your opportunity to be part of a global team of passionate marketers, artists, designers, product specialists, and visionaries who are working towards creating a more positive life on this planet.

At TOMO, we focus on wellness, sustainability, the love for design, and building purpose-driven brands.


Here's what you'll get to do:

  • Collect and analyze large datasets to identify trends, patterns, and insights that can be used to inform business decisions.
  • Develop and maintain data models, algorithms, and statistical models to support analysis.
  • Develop and maintain dashboards and reports to communicate findings and insights to stakeholders.
  • Work with crossfunctional teams to identify and solve complex business problems using datadriven insights.
  • Develop and implement data quality checks to ensure accuracy and consistency of data.
  • Identify and recommend process improvements to increase efficiency and effectiveness of data analysis.
  • Collaborate with IT and other teams to ensure data is properly stored, processed, and protected.
  • Stay uptodate with emerging trends and tools in data analysis, machine learning, and artificial intelligence.
  • Develop and maintain documentation on data sources, data structures, and data analysis methods.
  • Communicate data analysis findings and insights to nontechnical stakeholders in a clear and concise manner.

To succeed in this role, you should have:

  • Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or related field.
  • Strong analytical and problemsolving skills, with the ability to work with large datasets and identify meaningful insights.
  • Proficiency in data analysis tools such as SQL, Excel, R or Python.
  • Experience in data visualization tools such as Tableau or Power BI.
  • Strong communication skills, with the ability to present findings and insights to stakeholders.
  • Experience with data modeling, statistical analysis, and machine learning algorithms is a plus.
  • Ability to work independently as well as part of a team in a fastpaced environment.


If you're ready to take your e-commerce career to the next level and join a dynamic, forward-thinking team, don't wait any longer.

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