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Cogna Educação

Senior Data Analyst

Cogna Educação

. Develop and optimize SQL queries for data extraction and manipulation .

Posted 10/28/2026full-timeValinhos • BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in SQL, Python, and Power BI for data extraction, manipulation, and visualization. Proficient in developing ETL pipelines and data warehousing solutions while applying statistical methods and machine learning techniques for advanced analytics.

Highest-signal resume keywords
Advanced SQL ProficiencyPython ProgrammingPower BI Data VisualizationETL Pipeline DevelopmentStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLPythonETL ToolsData ModelingMachine LearningStatistical AnalysisData MiningData WarehousingData VisualizationExcel
Soft Skills
Analytical MindsetEffective CommunicationTeamworkProblem SolvingProactive Approach
Tools & Technologies
Power BIETL Tools
Industry Keywords
Data ExtractionData IntegrationData QualityData IntegrityBig Data

Tech Stack

Tools & technologies
ETLPythonSQL

About the role

Key responsibilities & impact
  • Develop and optimize SQL queries for data extraction and manipulation
  • Create and maintain efficient ETL pipelines for data integration
  • Design and structure data warehouses to support advanced analytics
  • Analyze large volumes of data using data mining and machine learning techniques
  • Develop interactive dashboards and reports using Power BI for data visualization
  • Apply statistical methods to interpret and validate data
  • Collaborate with cross-functional teams to identify data-driven needs and solutions
  • Ensure the quality, integrity, and security of the data being handled

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Computer Engineering, Statistics, Mathematics, Information Systems, or a related field
  • Advanced proficiency in SQL, Python, and Power BI
  • Experience with ETL tools and data modeling in data warehousing environments
  • Knowledge of statistical analysis, machine learning, and big data
  • Strong data visualization skills and advanced proficiency in Excel
  • Analytical mindset, effective communication, and teamwork skills
  • Proactive approach and ability to solve complex problems

Benefits

Comp & perks
  • Profit-sharing program
  • Meal or food allowance provided through a flexible benefits card
  • Health insurance, including dependent coverage and copayments
  • Dental insurance
  • Undergraduate and graduate tuition assistance for you and your dependents
  • Birthday day off
  • SESC membership
  • Univers pharmacy partnership with discounts on medications
  • Corporate university with free learning tracks and courses
  • Wellhub (formerly Gympass)
  • Ninho Program for families expecting a new baby
  • Valoriza – Internal Recruitment Program