Description: Support data collection, organization, analysis, and maintenance primarily using SQL and Python to ensure data quality and availability for strategic and operational decision-making. Responsibilities and duties * Execute queries and data manipulation in relational databases using SQL to extract information according to requirements for recurring and ad-hoc analyses. * Create and maintain simple Python scripts to automate tasks and support data analysis and integration processes as needed by the team. * Participate in data modeling and structuring processes, contributing to the standardization and organization of client databases. * Monitor data quality and consistency, continuously identifying inconsistencies and reporting them to the team for correction. * Assist in building reports and dashboards by integrating multiple data sources to facilitate visualization and tracking of key metrics. * Support data integration across different systems (e.g., CRM, marketing platforms) using tools and processes defined by the team. * Work concurrently on multiple data-related tasks, prioritizing assignments to meet deadlines and stakeholder expectations. * Collaborate with a multidisciplinary team, sharing information and knowledge to ensure cohesion and integration across involved areas. * Participate in operational and alignment meetings with clients and the team, presenting results and progress on data-related tasks. Requirements and qualifications * Proficiency in SQL (queries, joins, filters, aggregations). * Basic knowledge of Python (data manipulation, libraries such as Pandas). * Understanding of relational data modeling concepts. * Familiarity with ETL and data integration concepts. * Basic knowledge of BI tools (e.g., Power BI, Looker Studio) is desirable. 2512150202201689242