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Leega

BI Analyst, Power BI – Data Visualization, Databricks Dashboards

Leega

Analista BI Power BI role focusing on data analysis and developing dashboards for business intelligence. In a dynamic company specializing in data solutions and cloud environments.

Posted 7/31/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in Data Analysis and Business Intelligence with extensive experience in Microsoft Power BI, DAX, and ETL processes. Skilled in developing databases and dataflows, and collaborating with business users to meet analytical needs.

Highest-signal resume keywords
Data AnalysisBusiness Intelligence (BI)Microsoft Power BIDAX (Data Analysis Expressions)ETL (Extract, Transform, Load)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalysisBusiness Intelligence (BI)Microsoft Power BIDAX (Data Analysis Expressions)Power Query (M Language)ETL (Extract, Transform, Load)SQLDatabasesER ModelingExcel - Intermediate
Tools & Technologies
Power BI ServiceRedshift (AWS)BigQuery (GCP)AWS Cloud

Tech Stack

Tools & technologies
Amazon RedshiftAWSBigQueryCloudETLGoogle Cloud PlatformSQL

About the role

Key responsibilities & impact
  • Create and maintain dataflows and datasets in the Power BI Service environment;
  • Develop/model databases for dashboards and reports;
  • Document the processes developed;
  • Elicit and understand database and variable requirements from the business;
  • Perform data analysis in the Power BI environment together with business users (business area).

Requirements

What you’ll need
  • Minimum 3 years of experience in Data Analysis
  • At least 2 years of proven experience in Business Intelligence (BI)
  • At least 4 years of proven experience with Microsoft Power BI
  • DAX (Data Analysis Expressions)
  • Power Query (M language)
  • ETL (Extract, Transform, Load)
  • Excel - Intermediate
  • SQL - Intermediate
  • Databases
  • ER modeling
  • Redshift (AWS)
  • BigQuery (GCP)
  • Demonstrated experience working in AWS cloud environments

Benefits

Comp & perks
  • Remote working environment
  • Ongoing training and development