
$0-$0 / yr
Salary
brazil
Region
ASAP
Start Date
No company information provided.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Analista de Dados Pl based in Brazil.
You will join a data-driven environment where analytics plays a central role in supporting strategic and operational decisions across the business. In this role, you will be responsible for structuring, maintaining, and evolving analytical data solutions that ensure reliability, automation, and clarity of insights. You will work closely with business and technical teams to transform raw data into meaningful dashboards, reports, and analytical models that support decision-making at scale. The environment is collaborative, modern, and strongly oriented toward data quality, cloud technologies, and continuous improvement. You will also contribute to strengthening data governance, improving pipelines, and ensuring consistency across analytical layers. This role offers the opportunity to work end-to-end across data analytics, from extraction to visualization, with real business impact.
Accountabilities:You will be responsible for developing, maintaining, and improving analytical data solutions, ensuring high-quality insights through dashboards, automation, and robust data processing. You will support business teams in leveraging data effectively while contributing to data engineering and analytics improvements across the organization.
Develop, maintain, and optimize Power BI dashboards and reports, ensuring accuracy, performance, and usability
Support business teams in interpreting KPIs and making data-driven decisions
Write, optimize, and maintain SQL queries for data extraction, transformation, and analysis
Develop Python scripts for automation, data processing, and advanced analytics
Support data engineering teams in ingestion and transformation pipelines across Data Lake layers (Bronze, Silver, Gold)
Monitor data quality, integrity, and consistency, identifying and resolving anomalies
Document data models, pipelines, and business rules to ensure traceability and standardization
Collaborate with cross-functional teams to improve data processes and analytics capabilities
You have solid experience in data analysis and analytics engineering, with strong technical skills in SQL, Python, and BI tools. You are detail-oriented, analytical, and comfortable working with cloud-based data environments and large datasets.
Degree in Computer Science, Engineering, Information Systems, or related fields
Strong SQL skills for data manipulation and analysis
Intermediate Python skills (Pandas, PySpark, automation, file processing such as Parquet)
Experience with Power BI, including data modeling, DAX, and Power BI Service
Familiarity with cloud environments such as Azure or GCP
Understanding of data pipelines, ETL processes, and analytical data layers
Strong analytical thinking and problem-solving skills
Ability to document processes and communicate insights clearly
Experience working in cross-functional and collaborative environments
Nice to have:
Experience with Azure Synapse, Databricks, or BigQuery
Knowledge of Data Lakehouse concepts (Medallion architecture, Delta Lake)
Exposure to GCP tools such as BigQuery, Dataflow, or Looker
Familiarity with AI/ML concepts applied to data, including LLM APIs, predictive analytics, and automation of data workflows
Remote-first work model within Brazil
Opportunity to work in a large-scale, data-driven organization
Strong focus on innovation, automation, and continuous improvement
Exposure to modern cloud data platforms and analytics tools
Collaborative and multidisciplinary work environment
Career development opportunities in data and analytics
Work with impactful business data supporting strategic decisions
Inclusive and innovation-oriented company culture
**How Jobgether works:**We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1