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Open nowPosted 33 days ago

Analista de Dados Pleno / Data Analyst

po2hc16 open roles

Where
SAO PAULO, SP, BR
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On site
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Your applicationOpen nowAnalista de Dados Pleno / Data Analystpo2hc · SAO PAULO, SP, BR
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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted 33 days ago

The posting

Curte transformar dados em decisões que realmente geram impacto no negócio? Esta vaga de Analista de Dados é para você.

Você vai atuar em uma empresa em crescimento, com forte cultura orientada a dados, ajudando times de produto, marketing e operações a tomarem decisões mais inteligentes e rápidas. Seu trabalho será essencial para gerar insights, estruturar indicadores e apoiar a estratégia.

  • Mapear necessidades de dados junto às áreas de negócio.
  • Construir e manter dashboards e relatórios gerenciais.
  • Tratar, modelar e analisar grandes volumes de dados.
  • Definir, acompanhar e otimizar KPIs de performance.
  • Realizar análises exploratórias e ad hoc para responder perguntas do negócio.
  • Garantir qualidade, consistência e governança dos dados.
  • Apresentar insights de forma clara para públicos não técnicos.

Requisitos obrigatórios:

  • Experiência prévia como Analista de Dados / Data Analyst.
  • Domínio de SQL para consultas e manipulação de dados.
  • Vivência com ferramentas de BI (ex.: Power BI, Tableau, Looker, Data Studio).
  • Conhecimento sólido em Excel/Planilhas e modelagem de dados.
  • Noções de estatística aplicada e métricas de negócio.
  • Capacidade de traduzir dados complexos em insights acionáveis.
  • Boa comunicação para interação com áreas diversas.

Diferenciais:

  • Experiência com Python ou R para análise de dados.
  • Atuação prévia em empresas de produto digital, e-commerce ou SaaS.
  • Conhecimento em modelagem preditiva ou machine learning.
  • Vivência com ambientes em nuvem (BigQuery, Redshift, Snowflake etc.).
  • Participação em projetos de data-driven culture ou data governance.
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