Job Title: Data Analyst Lead About the Position: We are seeking a skilled data analyst to lead our team in delivering high-quality data insights and driving business growth through data-driven decision-making. Key Responsibilities: - Lead cross-functional teams in designing, developing, and deploying data pipelines and solutions that meet business needs and drive organizational success. - Maintain and improve existing data architecture, ensuring scalability, reliability, and performance. - Partner with stakeholders to gather requirements for language-model initiatives and translate into actionable solutions. - Stay current on emerging data technologies and support pilot projects, ensuring seamless integration and scalability. Required Skills and Qualifications: - 5+ years of experience in ETL/ELT design and development, integrating data from heterogeneous OLTP systems and API solutions, and building scalable data warehouse solutions to support business intelligence and analytics. - Excellent English communication skills. - Effective oral and written communication skills with BI team and user community. - Demonstrated experience in utilizing Python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing. - Design and implement event-driven pipelines that leverage messaging and streaming events to trigger ETL workflows and enable scalable, decoupled data architectures. - Experience in data analysis, root cause analysis, and proven problem-solving and analytical thinking capabilities. - Experience designing complex data pipelines extracting data from RDBMS, JSON, API, and Flat file sources. - Demonstrated expertise in SQL and PLSQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies, along with hands-on experience in one or more relational database systems and cloud-based database services such as Oracle, MySQL, Amazon RDS, Snowflake, Amazon Redshift, etc. - Proven ability to analyze and optimize poorly performing queries and ETL/ELT mappings, providing actionable recommendations for performance tuning. - Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, and experience with Agile methodologies. - Proficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environment. Benefits: - A dynamic work environment with opportunities for growth and development. - A comprehensive benefits package, including health insurance, retirement savings plan, and paid time off. Others: This is a full-time remote opportunity for a star Data Analyst from LATAM.