Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Hitss Brasil

Data and BI Analyst, Data Lake

Hitss Brasil

. Analyze data to generate strategic insights and support decision-making .

Posted 10/20/2026full-timeBrasília • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in data analysis, modeling, and Business Intelligence (BI) tools to generate strategic insights and support decision-making. Proficient in data processing, cleansing, and transformation techniques, with a strong understanding of Data Lake architecture and the Medallion model.

Highest-signal resume keywords
Data AnalysisBusiness Intelligence (BI) ToolsData ModelingSQLPython

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

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

Hard Skills
Data AnalysisData ModelingSQLPythonBigQueryDbtData ProcessingData CleansingData TransformationDashboard Development
Soft Skills
Analytical SkillsCritical ThinkingCommunication SkillsTeamwork SkillsProactive Approach
Tools & Technologies
Power BIQlikTableauLookerMetabasePowerCenterTalend
Certifications & Qualifications
Bachelor’s Degree in Information TechnologyGraduate Degree in ITSix Certifications in Relevant Field or Agile Methodologies
Industry Keywords
Data Lake ArchitectureMedallion ModelBusiness TrendsExploratory AnalysisData Quality Validation

Tech Stack

Tools & technologies
BigQueryPythonSQLTableau

About the role

Key responsibilities & impact
  • Analyze data to generate strategic insights and support decision-making
  • Develop and model dashboards and management reports to identify business and market trends
  • Perform data modeling to build analytical solutions
  • Conduct exploratory analyses and data quality validations
  • Collect, process, cleanse, and transform data into structured, relevant information
  • Partner with product teams and business areas to gather requirements
  • Develop solutions using analytics platforms and Business Intelligence (BI) tools
  • Contribute to the evolution and support of a Data Lake-based data architecture using the Medallion model (Bronze, Silver, and Gold)

Requirements

What you’ll need
  • Bachelor’s degree in Information Technology or a related field (required)
  • Graduate degree in IT OR six certifications in the relevant field or agile methodologies (required)
  • Proven experience in data or BI
  • Experience with data modeling and analysis
  • Experience building dashboards and reports
  • Experience with BI tools (Power BI, Qlik, Tableau, Looker, Metabase, or similar)
  • Knowledge of data integration tools (PowerCenter, Talend, or similar)
  • Experience with SQL
  • Experience with Python
  • Experience with BigQuery
  • Experience with dbt
  • Knowledge of data processing, cleansing, and transformation techniques
  • Experience with Data Lake architecture and the Medallion model (Bronze, Silver, and Gold)
  • Analytical skills, logical reasoning, and critical thinking
  • Strong communication, interpersonal, and teamwork skills
  • Proactive, organized, and results-oriented approach
  • Ability to analyze, solve problems, and make decisions
  • Adaptability to new processes, technologies, and environments
  • Commitment to deadlines, quality, and completion of assigned activities
  • Ability to collaborate effectively with different teams and stakeholders
  • Knowledge of methodologies, tools, and best practices related to the field
  • Autonomy and a strong sense of responsibility in carrying out activities
  • Knowledge of the client’s context and needs is preferred

Benefits

Comp & perks
  • Open to professionals with disabilities and candidates of all gender identities and racial/ethnic backgrounds
  • Equal opportunities to build your career
  • Culture of innovation, collaboration, learning, and growth
  • Freedom to develop your skills and collaborate with different teams