Pessoa 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 a Pessoa Analista de Dados Pleno based in Brazil.

This is an opportunity for a mid-level data professional to transform complex information into actionable insights that support business decisions and create measurable <value.You> will develop analytical dashboards, reports, data models, and integrations while ensuring the quality and reliability of critical information.The role combines hands-on data analysis with close collaboration with internal clients and business <stakeholders.You> will translate business needs into practical, scalable analytical solutions and help define and monitor relevant KPIs.There is also a strong focus on automation, continuous improvement, and the thoughtful use of Generative AI to increase productivity and uncover <insights.You>’ll work in a data-driven environment where analytical thinking, innovation, and business impact are highly valued.The position is fully remote, offering autonomy and the opportunity to contribute to initiatives with broad organizational impact.

Accountabilities

• Create, maintain, and continuously improve analytical dashboards and management reports, ensuring strong performance, visual quality, and automated data refreshes.
• Perform data modeling, cleansing, transformation, and integration using information from multiple sources, including databases, APIs, spreadsheets, and other systems.
• Conduct exploratory, diagnostic, and predictive analyses to support operational, tactical, and strategic decision-making.
• Partner with internal clients and stakeholders to understand business needs, translate requirements into analytical solutions, and define relevant performance indicators and KPIs.
• Identify opportunities to automate analytical processes and improve recurring data preparation, reporting, and analysis workflows.
• Apply analytical tools and Generative AI capabilities to increase efficiency, productivity, and the quality of insights delivered to the business.
• Monitor and improve data quality, consistency, reliability, and usability across analytical outputs.
• Identify trends, patterns, and opportunities within data and translate findings into clear, actionable recommendations.
• Contribute to the evolution of data-driven practices by promoting scalable, efficient, and business-oriented approaches to analytics.

Requirements

• Professional experience in data analysis, including the use of analytical tools and Generative AI resources to generate insights, automate activities, and support decision-making.
• Experience handling, modeling, transforming, and integrating data from multiple sources.
• Solid knowledge of SQL for data querying, manipulation, and analysis.
• Experience with Business Intelligence tools, preferably Power BI, for developing dashboards and management reports.
• Knowledge of consuming and integrating APIs for data collection and availability.
• Experience automating analytical processes and recurring data treatment routines.
• Knowledge of defining, monitoring, and analyzing KPIs and other performance indicators.
• Familiarity with data governance, data quality, consistency, and reliability best practices.
• Ability to translate business requirements into practical analytical solutions that generate value for internal stakeholders.
• Strong analytical and problem-solving skills, with the ability to investigate data and communicate findings clearly.
• Good business understanding and a consultative mindset when working with stakeholders from different areas.
• Experience with Generative AI tools applied to data analysis and productivity is desirable.
• Knowledge of Python for automation, data analysis, and manipulation is a plus.
• Experience with data modeling and Data Warehouse/Data Lake concepts is desirable.
• Experience working with large datasets and in data-driven environments is an advantage.

Benefits

• 100% remote Anywhere Office work model.
• Meal and food allowance.
• Health and dental insurance.
• Home office allowance.
• Profit-sharing program.
• Home office setup voucher.
• Life insurance.
• Birthday day off.
• Health and wellbeing programs.
• Partnerships and employee discounts.
• Inclusive work environment committed to diversity and equal opportunity.
• Opportunities to work with data, automation, AI, and innovative analytical solutions.
• Career development and continuous learning opportunities.