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Open nowPosted 15 days ago

Analista de Dados

Emphasys IT Services

Where
São Paulo, SP, Brasil
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Your applicationOpen nowAnalista de DadosEmphasys IT Services · São Paulo, SP, Brasil

  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 Emphasys IT Services'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.

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 15 days ago

The posting

Atividades:

  • Apoiar o departamento de Sustentabilidade no Desenvolvimento de Negócios na administração, revisão e análise de bases de dados, controles e fluxos de informação, assegurando consistência entre sistemas e planilhas, identificação de gaps, e qualidade dos reports.
  • Atuar também no suporte operacional e middle office e apoiar nas rotinas administrativas do departamento, contribuindo para a confiabilidade dos dados e a eficiência dos processos locais e globais.
  • Revisar e validar bases de dados provenientes de sistemas, planilhas e controles do departamento de SBD.
  • Realizar gap analysis entre sistemas e planilhas, identificando divergências, dados ausentes, inconsistências e oportunidades de melhoria.
  • Adequar e manter planilhas locais e globais, realizando pesquisas, consolidação, tratamento e análise de dados.
  • Executar análises criteriosas para assegurar a integridade, coerência, rastreabilidade e qualidade das informações.
  • Inserir e atualizar dados em controles, planilhas, sistemas e SharePoint, de acordo com os fluxos e padrões definidos pelo departamento.
  • Preparar e reportar controles, indicadores e análises, acompanhando o fluxo de dados dos controles de SBD.

Experiência Técnica:​

  • Experiência prévia com análise de dados, controles, planilhas, rotinas administrativas ou atividades de middle office.
  • Conhecimento de Excel para organização, tratamento, análise e reporte de informações.
  • Capacidade de analisar bases de dados, identificar inconsistências e estruturar gap analyses.
  • Planejamento e organização para administrar controles, prioridades, resultados e fluxos de informação.

Formação Acadêmica:

  • Ensino superior completo ou em andamento em Administração, Economia, Engenharias, Estatística, Ciência de Dados, Sistemas de Informação ou áreas correlatas.
  • Cursos de Excel, análise de dados ou ferramentas de gestão da informação são desejáveis.

Idioma:

  • Inglês intermediário para interação com planilhas, materiais e stakeholders globais.

Observação:

  • Vaga Híbrida.
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One press. We do the rest.

  1. A CV for this posting

    Written against Emphasys IT Services's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

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

  3. We apply on Emphasys IT Services's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Emphasys IT Services's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

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  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • 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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The numbers game

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