Data Science Global Distribution Analyst

• Technical training, preferably in Engineering, Computer Science, Telecommunications, Mathematics, Physics or other quantitative disciplines.
• Initial experience, academic or professional, in data analysis, programming, or the development of analytical solutions.
• Knowledge of Python and SQL.
• A high level of English is required.
• Analytical skills and attention to detail.
• Eagerness to learn and develop in a data and business environment.

• Knowledge of data visualization tools such as Looker, Power BI, or Streamlit will be valued.
• Experience or interest in logistics, supply chain, or retail environments will be valued.

• Enjoy a flexible schedule and hybrid work model that adapts to your needs. At MANGO, we are committed to work-life balance.

• At MANGO, the weekend starts on Friday at noon. We offer intensive working hours on Fridays and the eves of public holidays.

• Plan your holidays according to your preferences. At MANGO, we value your time and want you to enjoy every moment.

• As part of the MANGO team, you will enjoy discounts on all our lines, so you can always be up to date!

• You will enjoy My Mango Benefits, our benefits platform, where you can tailor your compensation to your lifestyle with tax advantages, as well as access to a discount portal with multiple brands and services.

• Flexible compensation package with tax advantages: medical insurance, training, catering, and childcare vouchers.

• Free company transport from Barcelona and El Vallés.

• At MANGO, we invest in your personal and professional growth. Access a wide range of training, personalized mentoring, continuous development programs, and internal promotion opportunities that will drive you towards success. On a technical level, you will be trained in the use of different technological platforms, as well as participate in workshops, meetups, communities of practice, team buildings, and company meetings.

• Think big! MANGO offers you international opportunities in over 120 markets to expand your horizons and grow with us on a global level.

Your goal will be to support the development of data-driven solutions to contribute to the professionalization of commercial distribution and logistics, collaborating with different teams to ensure alignment with the area's objectives and fostering your learning and professional growth.

• Collaborate in the preparation, documentation, and processing of data, participating in the development of solutions in Python/PySpark following the technical guidelines of the team and the systems department.

• Provide support to the Data Science team in the development of analyses and solutions, contributing to continuous improvement and learning within the area.

• Participate in the development and maintenance of predictive demand models, supporting their validation and integration into corporate systems.

• Collaborate in the creation and updating of user interfaces and dashboards in tools such as Python, Streamlit, or Looker, to facilitate decision-making.

• Support the monitoring, simulation, and documentation of the models' impact, as well as the tracking of the KPIs defined with the business area.

• Contribute to ensuring the quality and consistency of data during the different phases of the analytical cycle, following the best practices defined by the team.

• Participate in data projects and initiatives, providing support in the analysis and execution of tasks prioritized by more senior profiles.

• Collaborate with other departments, especially with business and systems, to understand needs and support the implementation of data solutions.

• Follow the methodologies, tools, and processes established by the team for the correct development of projects.

• Prepare analyses, progress reports, and documentation of results to share with the team and support decision-making.