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Open nowPosted 22 hours ago

Analista Inteligência de Mercado

Gupy (Portal de Vagas)61,497 open roles

Where
Rio de Janeiro, Brazil
Work mode
On site
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Your applicationOpen nowAnalista Inteligência de MercadoGupy (Portal de Vagas) · Rio de Janeiro, Brazil

  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 Gupy (Portal de Vagas)'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.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.1%30 days
This job: posted 22 hours ago

The posting

Na PASHAL, somos líderes no segmento de locação de equipamentos para a Construção Civil, com mais de 35 anos de atuação no mercado. Nosso compromisso vai além de fornecer soluções construtivas queremos transformar desafios em oportunidades e impulsionar o setor com inovação e excelência.Atuamos nas principais frentes do mercado: Edificação, Industrial, Infraestrutura, Manutenção e Montagem Industrial (MMI). Para isso, buscamos talentos que compartilham nosso propósito e que queiram fazer parte de um time que valoriza qualidade, eficiência e desenvolvimento contínuo.Se você busca um ambiente dinâmico, oportunidades de crescimento e o desafio de atuar em grandes projetos, a Pashal é o lugar certo para você!Junte-se a nós e faça parte dessa trajetória de sucesso! 💛Responsabilidades e atribuiçõesMonitorar oportunidades de mercado, por meio de plataformas como Rede de Obras, CRM, fontes públicas, etc;Acompanhar a qualidade dos dados no CRM/RD Station;Identificar gargalos no processo comercial, desde lead até resposta, negociação e fechamento;Apoiar a liderança comercial na organização de rotinas de pipeline review, forecast e acompanhamento de performance;Desenvolver e manter dashboards comerciais em Power BI, Excel ou ferramentas similares;Produzir análises de performance comercial com foco em receita, margem, conversão, carteira, produtividade e evolução dos segmentos;Estruturar base de dados comerciais.Requisitos e qualificaçõesExperiência prévia na função;Formação superior em Administração, Engenharia, Economia, Estatística, Sistema de Informação, Ciência de Dados, Marketing, Gestão Comercial, ou áreas correlatas;Conhecimentos em Power BI ou ferramenta similar de visualização de dados;Conhecimento em CRM, preferencialmente RD Station, Salesforce, HubSpot ou similar;Capacidade de estruturar, tratar e analisar base de dados;Disponibilidade para atuação presencial.Informações adicionaisVale-Transporte;Refeição no local;Assistência médica e odontológica opcional;Seguro de Vida;Descontos em universidades parceiras;Descontos em diversos restaurantes na região da Faria Lima;Confraternização mensal para os aniversariantes;Ambiente de trabalho colaborativo, com oportunidade de aprendizado e crescimento constante.

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  1. A CV for this posting

    Written against Gupy (Portal de Vagas)'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 Gupy (Portal de Vagas)'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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Why it works

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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We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

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