Analista de Dados Sênior

Accountabilities

• • Collect, process, consolidate, model, and analyze data from multiple sources to generate reliable business insights.
  • Develop, maintain, and continuously improve dashboards, management reports, Business Intelligence solutions, and analytical applications.
  • Define, structure, monitor, and improve KPIs and performance indicators aligned with business objectives.
  • Build and maintain data solutions that support operational and strategic needs, while automating recurring analytical and operational processes.
  • Integrate and validate datasets from different sources, ensuring data quality, consistency, governance, and reliability.
  • Conduct analytical studies to identify trends, opportunities, risks, and potential improvements, translating findings into actionable recommendations.
  • Translate business requirements into scalable analytical solutions and clearly communicate insights to both technical and non-technical stakeholders.
  • Create and maintain technical documentation, methodologies, procedures, and documentation related to data solutions.
  • Support knowledge sharing and collaborate with Engineering, Data, Product, and Business teams to ensure solutions effectively address organizational needs.
  • Identify opportunities to improve processes, systems, information flows, and the overall use of data across the organization.

  Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Statistics, Data Science, or a related field.
  • 4+ years of professional experience in data analytics, Business Intelligence, or related areas.
  • Strong hands-on experience with SQL and relational databases.
  • Experience with data modeling, transformation, integration, and analytical processes.
  • Experience developing dashboards and reports with Power BI, Tableau, Looker, or similar BI tools.
  • Strong experience with Excel and other data analysis tools.
  • Knowledge of Python, R, or another programming language for data analysis and automation.
  • Experience working with multiple data sources and integrating different datasets.
  • Knowledge of data quality, governance, and validation practices.
  • Strong analytical, problem-solving, and critical-thinking abilities, with attention to detail.
  • Ability to translate business requirements into effective, data-driven solutions.
  • Strong communication skills, including the ability to explain complex data concepts and insights to technical and non-technical audiences.
  • Proactive, autonomous, organized, and comfortable working on complex problems with limited supervision.

  Benefits

  • 100% remote work from Brazil.
  • Opportunity to work with Data, AI, Analytics, and Business Intelligence technologies.
  • Exposure to cross-functional projects involving Engineering, Data, Product, and Business teams.
  • An environment focused on innovation, continuous improvement, and data-driven decision-making.
  • Opportunity to contribute to scalable analytical solutions with direct business impact.
  • Inclusive and collaborative work environment that values diversity and equal opportunity.