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Data Engineer en Madrid

IKEA

Lugar de trabajo
En sede
Horas
Full-Time
Prácticas
false
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Descripción de la oferta

WHAT YOU'LL NEED TO HAVE

•Extensive understanding of how to leverage large datasets to improve decision-making in a business setting
•Broad knowledge of relevant scripting languages (such as Python) and the role of notebook environments for sharing findings and code with others
•Broad knowledge of probability and statistics, including hypothesis testing using controlled experiments (e.g. A/B testing)
•Extensive knowledge of SQL and the role it plays in data analysis
•Developing business problem related statistical/ML modeling with industry tools with primary focus on Python development
•Strong interpersonal skills with the ability to collaborate, network and build strong relations with team members and stakeholders
•Ability to translate business input into testable hypotheses, features/models, or metrics
•Independent problem-solver, including an ability to self-learn new techniques/tools as needed
•Business storytelling and communicating data insights in business consumable format.

Key previous experiences and proven skills

•Formal qualifications (BSc, MSc, PhD) in computer science, econometrics, engineering, mathematics, or equivalent
•Minimum 5 years of professional experience as a (Junior) Data Analyst or (Junior) Data Scientist
•Extensive knowledge of data processing for large datasets
•Familiarity with cloud computing environments, Azure, Azure Databricks, GCP

YOUR RESPONSIBILITIES

•Ensure, promote and take full responsibility for informed decision-making based on data in order to improve business performance, always leading by example and actively encouraging fellow team members in cross-functional teams to prioritise and be part of transforming IKEA into a more data-driven company
•Conduct advanced data exploration and analysis using modern data mining techniques (including Machine Learning), visualization tools, or a combination thereof, to provide insights that help co-workers and stakeholders make better decisions
•Evaluate the potential and usability of raw, unstructured internal and external data sources for use in product analytics and data-driven decision-making in general
•Proactively manage relevant organisational processes, including meetings with relevant stakeholders and/or teams to drive an intended outcome

OUR TEAM WITHIN IKEA

We’re the ones who make it possible for people to have a smarter life at home and a hassle-free and rewarding shopping experience. Together we work to find new digital solutions for every business need to help make IKEA a great and efficient place to work. We like to think of ourselves as innovative and modern, and we believe that nothing would actually work without us.
 

Acerca de IKEA

  • Retail

  • Delft, Netherlands

  • +10,000

  • 1943

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