Senior Business Intelligence Analyst

2 semanas atrás

Porto Alegre, Rio Grande do Sul, Brasil beBeeDataExpert Tempo inteiro R$900.000 - R$1.200.000

We are seeking a skilled professional to join our team as a Staff Analytics Engineer. This is a unique opportunity to work on global projects, utilizing modern technologies across front-end and back-end layers.

Key Responsibilities:
  • Design and implement scalable and automated processes for data collection, validation, reporting, and analysis using Python and SQL.
  • Develop, test, and document complex SQL queries, stored procedures, and robust ETL/ELT processes to support Business Intelligence and advanced analytics initiatives.
  • Extract, transform and analyze data from multiple sources, consistently ensuring data integrity and high quality.
  • Build and maintain interactive dashboards and reports in Power BI, ensuring efficiency, scalability, and significant business impact.
  • Collaborate effectively with cross-functional teams and influence data-driven decision-making throughout the organization.
  • Define and document clear reporting requirements, data governance processes, and validation methodologies.
  • Provide strategic recommendations based on deep data analysis, proactively identifying trends and business opportunities.
  • Offer technical support and troubleshooting for existing Power BI reports and other BI tools, continuously identifying areas for improvement.
Requirements:
  • A minimum of 5 years of experience working with data analytics, Business Intelligence, or data engineering roles.
  • Advanced SQL skills, including extensive experience with query optimization, stored procedures, and performance tuning for large datasets.
  • Proven expertise in Python for data manipulation, analysis, and process automation (e.g., Pandas, SQLAlchemy).
  • Strong hands-on experience with Power BI, including advanced dashboard creation, data modeling, and interactive visualizations.
  • Must have strong knowledge and practical experience with Microsoft Azure services for data (e.g., Azure Data Lake, Azure Synapse Analytics, Azure Data Factory). Experience with GCP is a plus.
  • Solid understanding of data warehousing concepts, dimensional modeling, and ETL/ELT best practices.
  • Experience mentoring and supporting junior team members, fostering a culture of continuous learning and development.
  • Strong experience in data storytelling, effectively presenting complex insights to both technical and non-technical stakeholders.
  • Demonstrated ability to collaborate effectively with executives, engineers, and business teams to translate data insights into actionable strategies.
  • Excellent communication skills, both written and spoken.

This is an excellent opportunity to work in a collaborative environment where ideas are shared, and achievements are celebrated as a team. You will enjoy the freedom and flexibility to work from wherever you feel most productive and comfortable. We also provide resources and programs dedicated to your physical and mental well-being.

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