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Open nowPosted 28 hours ago

Analista de Dados Pl - Foco em Ciências de Dados (Remoto)

duxcompany31 open roles

Where
BR, Remote
Work mode
Remote
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Your applicationOpen nowAnalista de Dados Pl - Foco em Ciências de Dados (Remoto)duxcompany · BR, Remote

  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 duxcompany'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.

12.3% of postings close within 7 days. Measured by our own scanner across the market. duxcompany postings stay open a median of 4 days.

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 28 hours ago

duxcompany median: 4 days open

The posting

Atividades do cargo:

  • Conduzir análises para gerar insights acionáveis em diferentes áreas de negócio;
  • Desenvolver e implantar modelos de Machine Learning que resolvam diferentes problemas na cia;
  • Desenvolver e manter relatórios e dashboards de indicadores no Power BI e Data Studio, garantindo que as visualizações sejam intuitivas e acionáveis para diferentes áreas;
  • Trabalhar com grandes volumes de dados utilizando ferramentas como SQL, Google Sheets e Python;
  • Escrever consultas complexas em SQL para extrair e cruzar dados do Google BigQuery;
  • Compreender nossos produtos e suas interações com as demais áreas da empresa;
  • Aproveitar as oportunidades de aprendizado em uma equipe altamente qualificada;
  • Participar de projetos dinâmicos e complexos com grande impacto no cliente.

Requisitos necessários para inscrição:

  • Formação: Superior completo em Engenharia, Tecnologia, Administração, Economia, Estatística ou áreas correlatas;
  • Análise de Dados: Domínio em SQL e Google Sheets para análise de dados;
  • Ferramentas de BI: Experiência prática na construção e manutenção de dashboards em ferramentas como Power BI e Google Data Studio;
  • Ciência de Dados: Experiência na construção de modelos de Machine Learning;
  • Familiaridade com ambientes de nuvem, de preferência no GCP;
  • Conhecimento prático em Python para análise e ciência de dados (testes estatísticos e modelos de Machine Learning);
  • Diferencial ter participado de projetos de Machine Learning de ponta a ponta: desde a concepção até a implantação em produção;
  • Diferencial conhecimento em Protheus, Nuvemshop ou Salesforce;
  • Diferencial Inglês (para ferramentas).

Informações da vaga:

Regime: Remoto; Escala: Segunda à sexta – 44h semanais.

Benefícios:

  • Assistência médica e odontológica;
  • Seguro de vida;
  • Vale-transporte;
  • Vale-alimentação e vale-refeição;
  • Totalpass;
  • Day-off de aniversário + vale-presente;
  • Desconto em produtos DUX e Eat Clean;
  • Psicoterapia, coaching e mais via App Zenklub;
  • Licença parental estendida.

A diversidade nos une e a inclusão nos fortalece. Vamos celebrar as diferenças, construir pontes e criar juntos um mundo onde cada voz importa e cada indivíduo é respeitado e valorizado em sua totalidade. Aqui, nosso objetivo principal é de nutrir a vida humana, então, se você acredita em nosso propósito, nossas vagas são para você!

Valorizamos a pluralidade de vivências e perspectivas. Incentivamos especialmente a candidatura de mulheres, pessoas negras, pessoas com deficiência (PcD), integrantes da comunidade LGBTQIA+ e profissionais 50+ para esta vaga. Venha trazer a sua história para o nosso time!

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  1. A CV for this posting

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  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 duxcompany's form

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

  4. Every reply, sorted

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  5. Reply with AI

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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.

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  • 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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