Resource Description

Lead the process of transforming raw data into valuable information for the company, by coordinating the identification, collection and analysis of data, the generation of strategies, the development of applications and algorithms, the optimization of the flow of information and the constant generation of initiatives that allow us to improve the efficiency of decision making in order to improve the experience of our customers.

Requirements

• Coordinate the constant collection of data that enriches the information universe of the company, prevailing the structure, quality and value of the data.
• Documentation of business rules to fuel the adoption process (User guides and support resources to help employees understand and effectively use new digital tools).
• Develop action strategies based on data, in conjunction with the different areas of the organization and Weekly sessions with regions to monitor issue resolution
• Keep all business rules updated, ensuring that they reflect changes and updates in the company's digital environment.
• Manage the generation of applications, analysis projects, systems, reports and other solutions required by the different areas of the company.
• Design hypothesis and experimentation exercises to obtain relevant conclusions in data analysis.
• Establish the complete automation of processes that allow discarding manual procedures and directing time towards higher value activities.

Required Experience:

• 2 - 5 years of experience in similar positions.
• Solid experience in the sector.

Required Knowledge:

• Computer science, mathematics, statistics, mining, modeling, ETL and data analysis, logic.
• Programming languages: Python (Sklearn, Pandas, Numpy, Os, Tensorflow, etc) and SQL (Stored Processes, Queries, Database Administration, Jobs, CTE, Views) Required. R Not essential, Preferred.
• Softwares and working tools: Power Bi, Google Analytics, Office, Visual and Tableau.
• Knowledge in data warehousing systems. Snowflake, SQL Server.
• Skills: Numerical analysis, statistical modeling, data visualization, database design and administration, programming and data processing, generation of artificial intelligence algorithms and machine learning processes..