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Open nowPosted 3 days ago

Analista de Dados Sênior

estadao11 open roles

Where
São Paulo, BR
Work mode
Hybrid
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Your applicationOpen nowAnalista de Dados Sêniorestadao · São Paulo, BR

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on estadao's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. estadao postings stay open a median of 7 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 3 days ago

estadao median: 7 days open

The posting

- Dashboards executivos e operacionais: desenvolver, manter e evoluir dashboards

para acompanhamento dos principais indicadores da companhia, com destaque para

audiência (usuários, pageviews, recorrência, engajamento, origem de tráfego) e

publicidade (receita, inventário, CPM, fill rate, entrega de campanhas).

- Soluções analíticas: desenvolver soluções em Google Looker Studio e aplicações em

Python para visualização, automação e disponibilização de dados.

- Pipelines de dados: construir pipelines de extração, tratamento, consolidação e

atualização automática de dados de diferentes fontes, como APIs, bancos de dados,

planilhas, sistemas corporativos, GA4 e plataformas de ad server.

- Modelagem e governança: modelar e estruturar bases de dados no BigQuery,

garantindo qualidade, consistência e governança das informações.

- Produtos analíticos ponta a ponta: criar soluções que integrem captura,

processamento, análise e visualização de dados.

- KPIs corporativos: apoiar a definição, a evolução e o acompanhamento dos principais

KPIs da companhia.

- Insights e recomendações: identificar tendências, oportunidades e riscos, como

sazonalidade de audiência, conteúdos de maior valor e oportunidades de monetização

do inventário, transformando-os em recomendações acionáveis.

Superior em Ciência da Computação, Estatística, Economia, Engenharias ou TI. Sólida experiência em Business Intelligence e construção de dashboards (Looker Studio obrigatório; Power BI/Tableau/Qlik desejável). Python avançado para tratamento de dados e automação (Pandas, NumPy, Plotly, Streamlit). Domínio de SQL e modelagem de dados, com foco em Google BigQuery e bancos relacionais. Conhecimento em nuvem (GCP), controle de versão (Git) e consumo de APIs. Excel e Google Workspace (Sheets/Drive) em nível avançado. Uso de IA Generativa aplicada ao contexto de análise de dados e produtividade.

Assistência médica e odontológica; Day off de aniversário; Casual every day; Vale-transporte; Restaurante Interno; Seguro de Vida; Acesso ao conteúdo digital completo do Estadão; Descontos exclusivos em instituições de ensino; Auxílio Psicológico - Wellz; Plano Pet; Wellhub (antigo Gympass); Previdência Privada - OESPREV; Clube de Vantagens Estadão.

Local de Trabalho: Avenida Engenheiro Caetano Álvares, 55 – Bairro Limão – São Paulo/SP – Zona Norte. Horário de Trabalho: Das 09h00 às 18h00 - de segunda a sexta - Modelo Híbrido - terça, quarta e quinta-feira presencial.

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    The review screen in CV Rocket: how each CV was read, round by round.

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3×

more interviews than doing it yourself with ChatGPT.

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  • How it was written, and how the review scored it
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  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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