Senior Power BI Data Analyst

New
Remote work opportunity within Brazil.Full-TimeSenior
Salary not disclosed
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Job Details

Required Skills
PythonSQLMicrosoft Power BIData visualizationData modelingDatabricks

Requirements

  • Strong experience with SQL for data extraction, transformation, manipulation, and analysis.
  • Hands-on experience using Python for data processing, analytics, and exploratory data analysis.
  • Advanced proficiency in Power BI, including dashboard creation, data modeling, and visualization best practices.
  • Experience working with Databricks environments and modern data platforms.
  • Solid analytical mindset with proven experience conducting exploratory and advanced data analysis.
  • Strong understanding of statistical concepts and analytical methodologies.
  • Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences.
  • Experience working closely with stakeholders and translating business requirements into analytical solutions.
  • Strong organizational and prioritization skills, with the ability to manage multiple initiatives simultaneously.
  • Availability for occasional travel to Porto Alegre, RS.
  • Collaborative, proactive, and results-oriented approach to problem-solving.

Responsibilities

  • Collect, process, and analyze large volumes of data to identify patterns, trends, risks, and opportunities for improvement.
  • Perform advanced analytical studies using statistical methods, including clustering techniques, probability distributions, and other quantitative approaches.
  • Design, develop, and maintain interactive dashboards, executive reports, and visualizations that support business decision-making.
  • Generate actionable insights and recommendations based on data analysis and business objectives.
  • Collaborate with business, product, and technology teams to understand requirements and ensure analytical solutions meet organizational needs.
  • Manage and prioritize analytical demand pipelines, balancing multiple projects and stakeholder expectations.
  • Translate complex technical findings into clear, business-friendly presentations and recommendations.
  • Contribute to the continuous improvement of data analysis processes, reporting standards, and performance measurement practices.
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