(W998) | Data Scientist Analyst - Energy Lab

Job Description:

We are looking for a Data Scientist Analyst to join our Energy Lab in Barcelona. You will be responsible for

thinking analytically, decomposing problem sets, and developing hypotheses and recommendations from robust data analysis.

What we offer: Interact with senior stakeholders on a regular basis to drive their business towards impactful change.Become the go-to person for end-to-end data handling, management, and analytics processes.Work with Data Engineers to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization.Become part of a fast-growing international and diverse team. What you will do: Perform data analysis in the field of Growth Revenue Management, Marketing Analytics, Logistics, CLM/CRM Analytics, and/or Risk Analytics.Conduct analyses in typical analytical tools, such as SQL, R, Python, and MatLab.Support solving problems, disaggregate issues, develop hypotheses, and develop actionable recommendations from data analysis and analytical models, under the supervision of consultants and Managers.Start communicating analyses via compelling presentations.Prepare and participate in both workshops and presentations. What you'll bring: An advanced degree in a quantitative field (e.g., Engineering, Mathematics, etc.).Up to 3 years of relevant experience in the Data Science field.Strong technical skills regarding data analysis, mathematics, and statistics; basic programming skills are also necessary.Experience with end-to-end deployment and automation of Data Science use cases.An ability to think analytically, decompose problem sets, and develop hypotheses and recommendations from robust data analysis.Knowledge of SQL, Python, R, and/or Matlab is highly desirable.Knowledge of R-Shiny, Python-Dash, PowerBI, and/or Tableau is a plus.Good knowledge of the Spanish & English language (comprehension and written form).Good communication skills with all stakeholders, both internal and with the client.
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