Senior Analytics Engineer

.Understand stakeholders requests and be capable to develop the better possible solution guaranteeing good performance, automated and scalable scenarios exceeding the technical expectations.
.Delegate and guide the less experienced peers in operational tasks or try to automate them. Participate and lead strategic data modeling, quality, and processing projects to improve our capacity and performance.
.Can negotiate deadlines for all Analytics Eng. team tasks with different hierarchy levels and demonstrate the effort and benefits of requested and suggested solutions to pass security, confidence, and alignment to all areas.
. Be capable to understand the math from behind business health metrics and facilitate, monitoring, and guarantee the correct calculation method through new tables, data quality, automation, and data solutions
. Be a reference about data and can improve the operation of stakeholders through better data solutions, and facilitate the day-by-day using automation effectively in all stakeholder areas
.Have an innovative approach to develop solutions requested by the analytical areas and understand the impact of each process in the computational processing.
.Be capable to develop organized and accurate data visualizations that can impact or demonstrate the value of the information to all stakeholders.
.Use and monitor the effectiveness of database structure, proposing new solutions and approaches to improving performance, scalability, and the services that we use
.Be able to create, improve, follow, and implement new and existing company data standards like documentation, structure, indentation, and organization. Be a disseminator of these cultures

. Be capable to be agile to execute organized codes with good performance, teach less experienced peers about good practices or new knowledge to extract correct data, automate complex pipelines, and improve the performance of deliverables

• - Bachelor's degree in a relevant field (e.g. statistics, mathematics, computer science, engineering, economics, business)
• - Knowledge of data analysis languages (e.g. SQL, Python)
• - Comfortable working with large data sets and numbers and big data environments
• - Knowledge in data modeling, preparation, and manipulation
• - Experience with some data visualization tools to report data
• - Advanced English
• - Relevant hands-on experience in data analytics-related roles.