Mid-level Analytics Engineer - CRM

Data professional with an analytical profile and business vision, capable of transforming CRM data into actionable insights and applying analytics and artificial intelligence techniques to optimize acquisition, retention, and customer relationship strategies. A proactive, results-oriented professional with a strong sense of ownership, capable of acting both strategically and executionally in the evolution of data-driven CRM. Main responsibilities Design and build data solutions for CRM, structuring datasets, tables, rules, and pipelines to support campaigns, customer journeys, and relationship strategies; Develop segmentations and customer intelligence at scale, transforming business rules and needs into automated, reusable, and productive data solutions; Evolve CRM data architecture, contributing to data modeling, integration, performance, quality, observability, and governance; Develop and put into production data products and services that can be reliably consumed by CRM and other company teams; Build solutions using SQL, Python, and Databricks, striving for automation, efficiency, scalability, and reduction of manual processes; Apply AI Engineering and GenAI concepts to develop automations, agents, tools, and solutions that facilitate access to data, insights, and knowledge; Create mechanisms for data and knowledge democratization, reducing dependency on manual analysis and