Data & Analytics Manager (Credito Automotriz)

Role Overview

We are looking for a Data & Analytics Manager to design and implement the data model for the Credit Automotriz business. The role will be responsible for transforming business information into reliable, automated, scalable, and actionable assets for decision-making. The position will have direct responsibility for the design and execution of solutions using Snowflake, SQL, and modern analytics tools.

What You Will Do

The main responsibilities will include defining and being responsible for the data model objective of Credit Automotriz, establishing standards and best practices for data integration, transformation, quality, documentation, and exploitation within Data Intelligence, designing and developing direct queries, transformations, and models using SQL and Snowflake, and identifying and leading the technical automation of manual processes and the industrialization of information products.

Why It Might Be a Fit

We value who you are and empower what you bring. The role requires a genuine interest in building, programming, testing, validating, and putting solutions into operation, business curiosity, and the ability to explain technical problems and solutions to business users.

Requirements

• Minimum 4 years of relevant experience in Data Analytics, Analytics Engineering, Data Engineering, Business Intelligence, or similar roles
• Advanced development of queries and transformations using SQL
• Exploitation of large volumes of information
• Integration and transformation of multiple data sources
• Building datasets for analysis and Business Intelligence
• Automating information processing
• Designing and implementing data quality control controls
• Identifying and solving inconsistencies between different sources
• Translating business needs into data solutions

Benefits

• Flexible work model
• Competitive salary with performance-based bonuses
• Growth opportunities
• International mobility
• Extensive career paths
• Preferential banking conditions
• Special interest rates on loans
• Life insurance
• Membership in gyms
• Medical centers in some of our facilities
• Meal subsidies
• Transportation services from various points

Tagged as: Data Analysis, Snowflake, SQL