Data Analysis Trainee at Ecolab

Barcelona, Catalonia, Spain

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Not SpecifiedCompensation

Internship, Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Procurement, Supply Chain, ChemicalsIndustries

Requirements

Masters in Data Science or Statistics or Computer Science or equivalent advanced degree
Interest in an Artificial Intelligence (AI) and business intelligence (BI) role
Experience with AI and BI data modeling and presenting insights to key stakeholders
Exceptional analytical and problem-solving abilities
Proficient in Python, PySpark, SQL, Azure AI, Tensorflow, Streamlit, Flask, Power Apps, Power BI, Snowflake, Azure SQL Database
Intermediate SQL skills, or willingness to learn
Fluent English
Full-time availability
Completed bachelor's or master's degree studies (for Traineeship contract eligibility)
Work permit in Barcelona
Preferred Qualifications
Experience designing and building standard reports and dashboards
History of managing and delivering projects, tasks, and initiatives
Ability to create, implement, document, and continuously improve processes in a changing environment
Training or experience in data science areas such as time series analysis, forecasting, classification, and regression analysis
Experience with data analytics tools such as Python, R, SPSS, MATLAB, Stata, and SAS
Experience working with global cross-functional teams and demonstrated ability to work well with people from different disciplines with varying degrees of technical expertise
Microsoft PowerBI experience
Project management experience
Experience in the petrochemical industry a plus
Enrolled in or recently completed degree with emphasis in Chemistry, Mathematics, Statistics, Computer Science, Information Technology, or Engineering preferred

Responsibilities

Serve as a liaison among stakeholders to analyze, document, and validate requirements for reporting and changes to business processes
Develop and maintain data products
Develop, test, and operationalize new standardized reporting
Develop and maintain business intelligence dashboards
Lead automation of processes and analyses
Train other teams in systems, tools, and processes owned by ADS
Proactively make recommendations and identify opportunities to solve business problems through new business intelligence reporting
Interface with IT to specify and implement improvements to our data pipelines