Analista de Dados Pleno

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 Pleno (Mid-Level Data Analyst) based in Brazil.

Join a data-driven technology environment where your work will help turn complex information into actionable business insights.

You’ll work across data analysis, engineering, Big Data, and emerging Data Science initiatives.

The role offers the opportunity to build reliable data pipelines and transform large datasets into meaningful reports, dashboards, and analyses.

You’ll collaborate with both technology and business teams, helping stakeholders make better decisions through high-quality data.

Your work will contribute to projects across important industries while using modern cloud and data technologies.

This position is ideal for an autonomous, analytical professional who enjoys solving complex problems and continuously improving data solutions.

You’ll also have opportunities to expand your expertise in Machine Learning, MLOps, visualization, and cloud-based data platforms.

Accountabilities

• Collect, clean, transform, organize, and analyze data to generate reliable and actionable insights.
• Develop and maintain data pipelines, ensuring the quality, reliability, availability, and integrity of information.
• Build SQL queries, reports, dashboards, and analytical solutions that support business decision-making.
• Work with large-scale datasets using Big Data technologies and modern data-processing frameworks.
• Develop and maintain ETL/ELT processes to efficiently move and transform data across systems.
• Conduct exploratory and statistical analyses to identify trends, patterns, opportunities, and potential business risks.
• Support Data Science and Machine Learning initiatives by contributing to the development and operationalization of analytical models.
• Apply data governance, security, quality, and architecture best practices throughout the data lifecycle.
• Collaborate with business and technology stakeholders to understand requirements and translate data into practical solutions.
• Contribute to continuous improvement of data processes, architectures, tools, and analytical practices.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Statistics, Mathematics, or a related field.
• Intermediate-level professional experience in data analysis, data engineering, or data science, with the ability to independently develop solutions and generate data-driven insights.
• Proven experience with data analysis, treatment, manipulation, and processing.
• Advanced SQL skills and practical experience working with databases.
• Hands-on experience with Databricks and Python for data analysis and processing.
• Experience with relational and non-relational databases such as MySQL, PostgreSQL, and MongoDB.
• Experience with Big Data technologies and ecosystems, including Apache Spark, Hadoop, and Hive.
• Knowledge of cloud computing platforms such as AWS, Azure, or GCP.
• Experience building and maintaining ETL/ELT processes.
• Understanding of data modeling and data architecture principles.
• Strong analytical and problem-solving abilities, combined with a clear understanding of business needs.
• Strong communication and collaboration skills, with the ability to interact effectively with business and technology teams.
• Organized, proactive, quality-oriented, and comfortable taking ownership in dynamic environments.
• Knowledge of Java and/or Scala is an advantage.
• Experience with statistical and predictive modeling, time-series analysis, or clustering is a plus.
• Experience with Machine Learning techniques such as regression, decision trees, clustering, or neural networks is desirable.
• Familiarity with MLOps practices for model deployment, monitoring, and maintenance is a plus.
• Experience with Power BI, Tableau, or similar data visualization tools is advantageous.
• Cloud and/or Databricks certifications are considered a plus.

Benefits

• Full-time employment under a Brazilian CLT contract.
• Company-subsidized health insurance for the employee.
• Option to add dependents to the health insurance with payroll deduction.
• Optional dental insurance, with the possibility of adding dependents.
• Meal or food allowance.
• Optional transportation allowance.
• Remote work model.
• Confidential personal support and counseling through the Impact & Care program, covering psychological, legal, financial, social, and pet-related support for employees and eligible dependents.
• Wellhub membership, providing access to 700+ gyms across Brazil, with plans starting from R$29.90 through payroll deduction.
• Option to include up to three dependents in the Wellhub program.
• Access to Udemy through the company intranet.
• Partnerships offering discounts with major consumer brands.
• SESC benefits for employees and eligible dependents.
• Discounts with educational institutions for undergraduate and postgraduate programs, language schools, and certification providers.
• Group life insurance.
• Opportunities to work on strategic technology projects using Agile methodologies.
• Exposure to global projects and multidisciplinary teams.
• A collaborative environment focused on innovation, continuous learning, career development, diversity, and inclusion.
• Opportunities for professional growth and national and international mobility.
• Positions open to professionals with disabilities (PwD).