Hitss Brasil

Data and BI Analyst – Data Lake

Hitss Brasil

full-time

Posted on:

Location Type: Remote

Location: Brazil

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About the role

  • Analyze data to generate strategic insights and support decision-making;
  • Develop and model dashboards and complex panels to identify business and market trends;
  • Perform data modeling to build analytical solutions;
  • Conduct exploratory analyses and perform data quality validations;
  • Collect, process, clean, and transform data into structured, relevant information;
  • Partner with product teams and business areas to gather requirements;
  • Use and enhance solutions on analytical platforms and BI tools;
  • Support the evolution of the data architecture (Data Lake / medallion architecture).

Requirements

  • Bachelor's degree in Information Technology or related fields;
  • Postgraduate degree in IT, OR six certifications in the area of expertise or agile methodologies;
  • 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 techniques for data processing, cleaning, and transformation;
  • Knowledge of analytical platforms;
  • Strong analytical skills, logical reasoning, and critical thinking.
Benefits
  • All our positions are open to professionals with disabilities; we promote gender and racial/ethnic equity.
Applicant Tracking System Keywords

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

Hard Skills & Tools
data modelingdata analysisSQLPythonBigQuerydbtdata processingdata cleaningdata transformationdashboard development
Soft Skills
analytical skillslogical reasoningcritical thinking
Certifications
Bachelor's degree in Information TechnologyPostgraduate degree in ITcertifications in agile methodologies