Data Analyst

Responsibilities

• 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.