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Open nowPosted yesterday

Analista de datos de venta

PSF14 open roles

Where
Asunción, Asuncion, Paraguay
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Your applicationOpen nowAnalista de datos de ventaPSF · Asunción, Asuncion, Paraguay

  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 PSF'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.

12.1% of postings close within 7 days. Measured by our own scanner across the market. PSF postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted yesterday

PSF median: 1 days open

The posting

Descripción del puesto

Descripción del puesto: Analista de datos de venta

Estamos en búsqueda de un Analista de datos de venta para unirse a nuestro equipo en Asunción. En PSF valoramos el talento humano y promovemos un entorno de trabajo basado en el compromiso y la mejora continua.

Como Analista de datos de venta, serás responsable de analizar y gestionar la información relacionada con las ventas de la empresa. Tu labor consistirá en recopilar, interpretar y presentar datos para identificar tendencias, patrones y oportunidades de mejora en el área de ventas.

Buscamos a alguien proactivo, con habilidades analíticas y atención al detalle. Debes tener formación universitaria en el área con enfoque comercial y experiencia previa en análisis de datos. Es fundamental que puedas trabajar en equipo y te apasione el mundo de las ventas y la tecnología.

Si estás buscando un trabajo desafiante en un ambiente de trabajo estimulante, ¡Esta es tu oportunidad! ¡Postúlate y forma parte de nuestro equipo comprometido con la excelencia y el bienestar de la sociedad!

Requisitos

  • Formación en Administración, Ingeniería Comercial, Economía, Estadística o carreras afines.
  • Manejo avanzado de Excel y Power BI.
  • Experiencia en análisis de datos e indicadores comerciales (KPI).
  • Conocimientos en forecast y proyección de ventas.
  • Experiencia en elaboración de reportes y dashboards gerenciales.
  • Conocimientos en análisis de precios, mercado y comportamiento de ventas.
  • Manejo de SAP u otros sistemas ERP (deseable).
  • Conocimientos en control de inventario, productos próximos a vencer y cadena de suministro (deseable).
  • Capacidad analítica, atención al detalle y orientación a resultados.
  • Residencia en Asunción o Gran Asunción.
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What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against PSF'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 PSF'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

    PSF'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

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    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

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

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Before you press

Straight answers

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What if my background isn't good enough?

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.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and 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.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

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