Planning Trainee

Ecolab is seeking a Data Engineer Trainee to work on our digital infrastructure solutions for Supply Chain. Your curious mind will enable the creation of innovative solutions and delivering speed of execution to thrill our stakeholders. Your efforts will launch quickly and have immediate and obvious impact on those around you.  
 

To be successful in this role, you must have great interest in data sets, excellent analytical skills, comfort dealing with complex business problems and the desire and ability to get things done in a fast-paced environment.  

What’s in it For You:  

• The opportunity to take on some of the world’s most meaningful challenges, helping customers achieve clean water, safe food, abundant energy and healthy environments 

• The ability to make an impact and shape your career with a company that is passionate about growth 

• The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best 

Key Responsibilities: 

• Translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with system owners to produce the required data 

• Analyze and integrate different sources of data into clear business conclusions and enable the stakeholder teams to translate these into recommended business actions 

• Responsible for building large data sets from multiple sources in order to build algorithms for predicting future data characteristics 

• Responsible for delivering innovative front-end applications that drive decision-making to our stakeholders 

• Develop the back-end data structures that enable the delivery of reports to key stakeholders 

• Govern the databases, processes and dashboards related to inventory and service 

Minimum Qualifications: 

• Bachelor's degree in Data Engineering, Big Data Analytics, Computer Science, Statistics or equivalent practical experience. 

• High degree of organization and ability to manage multiple, competing projects and priorities simultaneously. 

• Work well within a team in a multinational environment, ready to build good relationships and communicate with stakeholders at all levels of organization 

• Having a self-developer’s mind set, and willingness to constantly learn  

• Ability to understand and translate business requirements into data and technical requirements. 

• Fluent in English 

Preferred Qualifications: 

• Experience analyzing data sets using VBA, SQL, Python, R or other quantitative and statistical modelling technologies and tools or curiosity to learn quickly 

• Experience in Azure Data factory and Azure portal or curiosity to learn quickly 

• Some development experience in a scripting language (Python, Perl, etc.) or curiosity to learn quickly 

• Experience in data modeling; understanding of Data Architecture Layers Multi-source management, enrichment; Data Cleansing 

• Experience in an analytical or data engineering/infrastructure role. 

• Experience managing and querying datasets using SQL or other languages. 

• Experience working with SAP. 

• Experience in building and maintaining data infrastructures