Hitss Brasil

Data & 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 complex dashboards and panels to identify business and market trends;
  • Perform data modeling to build analytical solutions;
  • Conduct exploratory analyses and data quality validations;
  • Collect, process, clean, and transform data into structured, relevant information;
  • Collaborate 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 certification(s) in the area of expertise or in agile methodologies;
  • Proven experience in data or BI roles;
  • 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 cleaning, wrangling, and transformation;
  • Familiarity with analytical platforms;
  • Strong analytical skills, logical reasoning and critical thinking.
Benefits
  • Gender and racial/ethnic equity
  • Opportunity to work in a vibrant and innovative environment
Applicant Tracking System Keywords

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

Hard Skills & Tools
data modelingdata analysisSQLPythonBigQueryDBTdata cleaningdata wranglingdashboard developmentreport building
Soft Skills
analytical skillslogical reasoningcritical thinkingcollaboration
Certifications
Bachelor's degree in Information TechnologyPostgraduate degree in ITcertification in agile methodologies