Analista de Dados

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Develop, maintain, and enhance dashboards and reports in Power BI, ensuring high visual quality, performance, and reliability of the provided information.

• Provide support to business areas in interpreting indicators and utilizing analytical solutions, facilitating data-driven decision-making.

• Create, review, and optimize SQL queries for data extraction, processing, and transformation in relational databases and cloud environments.

• Write Python scripts for process automation, data processing, and advanced analytics.

• Assist the Data Engineering team with data ingestion, transformation, and availability in the Data Lake, working across Bronze, Silver, and Gold layers.

• Monitor the quality, integrity, and consistency of data within analytical layers, identifying, investigating, and reporting potential inconsistencies and anomalies.

• Document data models, ingestion pipelines, transformation processes, and business rules to ensure traceability and standardization of information.

• Collaborate with multidisciplinary teams to identify opportunities for continuous improvement in data and analytics processes.

⛳️ Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related fields;

• Advanced SQL skills;

• Intermediate Python (Pandas, PySpark, pipeline automation, and Parquet file manipulation);

• Power BI (dimensional modeling, DAX, publishing, and administration in Power BI Service);

• Familiarity with Cloud environments, preferably Azure or GCP.

• **Differentials:**

• Experience with Azure Synapse Analytics, Databricks, or BigQuery;

• Knowledge of Data Lakehouse concepts (Delta Lake and Medallion architecture);

• Experience with GCP (BigQuery, Cloud Storage, Dataflow, or Looker);

• Understanding of Artificial Intelligence and Machine Learning applied to data, including the use of LLM APIs, intelligent pipeline automation, predictive analytics, and integration of models in data flows.

🏝️ Benefits

• Remote work without a corporate office

• Innovative environment

• Great Place to Work certification