Florianópolis - Brasil

Data Analyst / BI

Natana Pedroso da Costa 👋

I am an Analytics Engineer that provide clean, well-defined, transfomed, tested and documented data sets, applying software engineering best practices like version control and continuous integration to the analytics code base, helping people to make data-driven companies. Experience with dbt, SQL, Databricks, Snowflake, Power BI, Data Studio, Python, Git, BigQuery, Azure devops.

Industrias de interés:

  • Compañías Tech
  • Startups medianas
  • Startups en formación
  • Tecnología financiera

2Años de experienciacomo Data Analyst / BI

3 Años de experiencia trabajando con PostgreSQLyPower BI
Inglésintermedio
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Experiencia

Educación

  • Engenharia de Produção

    Universidade Federal do Pampa

    March 2011 - February 2018
  • Engenharia de Produção

    Universidade Federal do Pampa

    March 2011 - February 2018
  • MBA Gestão de Projetos

    Centro Universitário Leonardo da Vinci

    December 2020 - October 2022
  • MBA Gestão de Projetos

    Centro Universitário Leonardo da Vinci

    December 2020 - October 2022

Cursos y certificaciones

  • Tutoria Trilha de ciências de dados

    Indicium Academy

  • dbt de A a Z

    Indicium Academy

  • Tutoria Trilha de ciências de dados

    Indicium Academy

  • Analytics Engineer Formação

    Indicium Academy

  • Analytics Engineer Formação

    Indicium Academy

  • Turoria na Formação Analytics Engineer

    Indicium Academy

  • Turoria na Formação Analytics Engineer

    Indicium Academy

Habilidades principales

PostgreSQL

PostgreSQL

experience:2 años
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Power BI

Power BI

experience:3 años
Azure Databricks

Azure Databricks

experience:1 año

Habilidades adicionales

SQL

SQL

experience:2 años
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SQLite

SQLite

experience:2 años
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Otras habilidades

Habilidades complementarias a mis conocimientos en metodologías, procesos, plataformas y software previamente utilizados.

  • Slack
  • Trello
  • Microsoft Teams
  • KanBan
  • bitrix24

Industrias de interés

Estoy interesado en conocer y trabajar en las industrias y empresas de este sector.

  • Compañías Tech
  • Startups medianas
  • Startups en formación
  • Tecnología financiera