Analista de BI

JobgetherBusiness intelligence

Based in BrazilFull-Time

Salary not disclosed

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Job Details

Required Skills: PythonSQLBusiness IntelligenceMicrosoft Power BIData modelingDatabricks

Hold a university degree in Information Technology, Data Science, Engineering, Mathematics, Statistics, Physics, Chemistry, or a related field.
Have experience designing and implementing data models for analytical environments.
Have practical experience developing and maintaining ETL/ELT processes for data integration and transformation.
Have advanced SQL skills and strong knowledge of databases, including querying, structuring, and optimizing data for analytics.
Have experience creating dashboards, reports, and executive visualizations.
Know Business Intelligence, analytics methodologies, and data warehousing concepts.
Have experience evaluating, monitoring, and improving data quality, integrity, and consistency.
Be able to translate business requirements into analytical models, metrics, and reporting solutions.
Bring analytical thinking, attention to detail, and problem-solving skills.
Communicate and collaborate with business stakeholders and technical teams.
Microsoft Power BI certification is a nice-to-have.
Experience with Microsoft Fabric, Databricks, cloud-based analytical solutions, or Python is a nice-to-have.
Knowledge of data lake and data warehouse architectures and data governance principles is a nice-to-have.

Design and model analytical data repositories for business intelligence, reporting, and decision-making.
Develop, maintain, and optimize ETL/ELT processes for data extraction, transformation, and loading.
Assess data quality, integrity, and consistency, and implement improvements.
Build, maintain, and enhance BI dashboards, reports, and executive visualizations.
Contribute to analytical architectures and enterprise data models.
Integrate data from multiple sources and systems for analysis.
Collaborate with business stakeholders to define indicators, metrics, reporting requirements, and visualizations.
Translate business needs into analytical solutions for monitoring, planning, and performance evaluation.
Identify improvements to analytics workflows, BI processes, and data governance.
Promote consistency and reliability across analytical models, reporting processes, and data assets.

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