Data Analyst / Data Scientist Junior

• Joining the Customer Department of Aigües de Barcelona.
• Participation in digital transformation, efficiency, and commercial process improvement projects.
• The opportunity to work with real data from processes related to readings, billing, collections, non-payments, and customer service.
• Participation in innovative projects linked to Salesforce, artificial intelligence, automation, and advanced information exploitation.
• Collaboration with Customer, IT, internal user, and specialized provider teams.
• Professional development in a multidisciplinary environment, oriented toward learning and the practical application of data in the business.
• Work location: Barcelona
• Work modality: 2 days of teleworking per week
• Working day and hours: split shift from Monday to Thursday and intensive hours on Fridays and during summer months.
• Social benefits: restaurant vouchers, public transport card, life insurance, medical insurance, training, nursery, and pension plan.

At Veolia Group, we know that professionals are the fundamental pillar of our corporate identity and our achievements. Therefore, we promote their integration through a firm commitment to equality between men and women, sharing our corporate culture, experience, and best practices.

What unites us as employees is the passion and excellence with which we work every day to protect the environment and ensure access to water. Together, we build a greener and more inclusive present.

If you want to be part of this team and take on this great challenge, don't hesitate to apply for this position!

As an inclusive company, Veolia is committed to diversity and values all applications without discrimination.

At Aigües de Barcelona, we are looking to hire a Junior Data Analyst / Data Scientist with experience to join the Customer Department.

We are looking for a person who wants to continue developing in the field of data and who combines technical knowledge with the ability to understand business processes, question information, formulate hypotheses, and transform data into actionable conclusions and proposals.

We are not looking for a recent graduate, but rather a person with initial professional experience in data analysis and exploitation, autonomy, critical thinking, curiosity, and the ability to work with different teams and internal clients.

• Perform complex analyses of databases related to the commercial cycle of Aigües de Barcelona: readings, billing, non-payments, collections, and other processes linked to the customer relationship.
• Provide support, through data analysis, to initiatives for improvement, efficiency, and digital transformation of commercial processes.
• Analyze Salesforce Service Cloud and Amazon Connect databases to identify process errors and detect areas for improvement.
• Analyze agent and operator operational data to identify improvement opportunities and propose changes to work procedures.
• Monitor implemented improvements and quantify their economic and operational impact.
• Formulate process change proposals based on the analyses performed.
• Coordinate with users to define functionalities, improvements, and changes in operational processes.
• Manage data projects as a project manager, coordinating tasks with internal teams, the IT team, and providers.
• Participate in pilot tests and proof of concept related to new technologies and Salesforce Service Cloud functionalities, such as Snowflake, Data Cloud, or Agentforce.
• Provide support, from a data perspective, to Agentforce implementation projects in Salesforce.
• Analyze incoming telephone calls and extract relevant conclusions for service improvement.
• Support operations through data exploitation and act as a reference person in information exploitation.
• Document, synthesize, and disseminate the conclusions of the analyses performed.
• Support the budgetary control of the Customer Department of Aigües de Barcelona.
• Collaborate in the preparation of consumption and billing projections for tariff analysis.
• Participate in collaborative initiatives related to data, such as the Data Community.