CloudETLPythonSQLAIArtificial IntelligenceGenerative AILLMAnalyticsLookerBIPower BI
About this role
Role Overview
Perform analysis, cleansing, and integration of data from multiple sources.
Develop SQL queries for data extraction, manipulation, and analysis.
Build dashboards, reports, and KPIs to support decision-making.
Support Analytics initiatives aimed at generating insights and monitoring business metrics.
Assist in developing and maintaining data pipelines and integration processes.
Participate in implementing AI Agent-based solutions to automate operational and analytical processes.
Develop integrations between systems, APIs, and data sources required for solutions.
Support testing, validation, monitoring, and evolution of data and AI solutions.
Document processes, workflows, business rules, and developed solutions.
Work closely with business areas to identify improvement opportunities through data, analytics, and automation.
Requirements
Bachelor's degree completed or in progress in Computer Science, Computer Engineering, Information Systems, Data Science, Statistics, or related fields.
Proficiency in SQL for querying and manipulating data.
Knowledge of Python or another language for developing data solutions.
Experience in data analysis, developing KPIs, and generating business insights.
Knowledge of data integration and transformation processes.
Interest in analytics, process automation, and artificial intelligence.
Preferred: Experience with Power BI, Looker Studio, or similar data visualization tools; Experience with APIs, ETL, and data pipelines; Experience implementing AI Agents, Generative AI, or LLM-based solutions; Knowledge of cloud environments and data architectures; Participation in process automation or digital transformation projects.
Tech Stack
Cloud
ETL
Python
SQL
Benefits
People with disabilities are always welcome.
We are a team of over 1,600 professionals and recognized as one of the "Incredible Places to Work" by the FIA/UOL award.