Analista de IA e Analytics

This role combines data analytics, automation, and Generative AI to develop solutions that support smarter business decisions.
You will create analytical indicators, build data pipelines, and transform complex information into actionable insights.
The position also involves designing AI prompts and workflows, developing analytical integrations, and improving operational processes.
You will work closely with technical and business teams to understand needs and deliver reliable, scalable solutions.
Strong SQL and data analysis skills will be central to producing high-quality metrics and analytical outputs.
The role offers a remote environment focused on innovation, continuous learning, collaboration, and technological advancement.
Success requires ownership, logical thinking, attention to detail, and a proactive approach to identifying opportunities for improvement.

• Advanced SQL skills.
• Experience with data modeling and data analysis.
• Practical knowledge of Python and APIs.
• Experience with Generative AI and automation.
• Experience with analytical and data tools such as Power BI, KNIME, or similar platforms.
• Strong organizational skills and attention to detail.
• Ability to structure solutions logically, consistently, and with a focus on long-term sustainability.
• Clear communication skills, with the ability to collaborate effectively with both technical and business teams.
• Strong sense of responsibility for the quality and reliability of deliverables.
• Proactive mindset and ability to identify opportunities for operational improvement.
• Hands-on approach to solving complex technical and operational challenges.
• Ability to prioritize team and product outcomes while collaborating effectively with colleagues.
• Long-term perspective, balancing urgency in resolving issues with the development of scalable and sustainable solutions.
• Curiosity and commitment to continuous learning, particularly around automation, analytics, and AI technologies.
• Strong ownership of solutions throughout their lifecycle, including architecture, maintenance, availability, and security.
• Resilience and adaptability when working in dynamic environments and handling complex challenges.
• High standards of ethics and integrity.