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Open nowPosted 5 days ago

Analista Senior de Business Intelligence II

Gupy (Portal de Vagas)74,621 open roles

Where
Bogotá
Work mode
Hybrid
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Your applicationOpen nowAnalista Senior de Business Intelligence IIGupy (Portal de Vagas) · Bogotá

  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. 34.0%30 days
This job: posted 5 days ago

The posting

¡Sé parte de Stefanini!En Stefanini somos más de 30.000 genios, conectados desde 41 países, haciendo lo que les apasiona y co-creando un futuro mejor.Responsabilidades y atribucionesExperiencia sólida en Business Intelligence y desarrollo de soluciones analíticas.Dominio avanzado de Power BI, incluyendo modelado de datos, Power Query, DAX, visualización y publicación de dashboards.Conocimientos avanzados de SQL para consultas, transformación, validación y análisis de datos.Experiencia en modelado dimensional, tablas de hechos, dimensiones y relaciones.Conocimiento de procesos ETL/ELT e integración de diferentes fuentes de datos.Experiencia en la creación y mantenimiento de modelos semánticos.Capacidad para definir, documentar y validar indicadores, métricas y reglas de negocio.Experiencia en análisis de calidad de datos, incluyendo duplicados, campos nulos, inconsistencias y diferencias de volumen.Conocimiento de automatización y actualización de bases de datos y dashboards.Experiencia en levantamiento de requisitos con equipos técnicos y áreas de negocio.Capacidad para realizar validaciones y homologaciones con usuarios y responsables de las fuentes de datos.Conocimiento de documentación técnica, diccionario de datos y especificación de requisitos.Conocimiento de control de versiones, preferentemente Git y GitHub.Requisitos deseablesExperiencia con Databricks.Conocimiento de arquitectura de datos en capas Raw, Silver y Gold.Conocimiento de Python o PySpark para tratamiento y análisis de datos.Experiencia con APIs REST, autenticación, endpoints, paginación y cargas incrementales.Conocimiento de entornos cloud, preferentemente Azure.Experiencia con SQL Warehouse, Data Lake o arquitectura Lakehouse.Conocimiento de monitoreo de pipelines y tratamiento de errores.Experiencia con grandes volúmenes de datos y múltiples clientes o ambientes.Conocimiento de herramientas como ClickUp, Jira o Azure DevOps.Inglés o portugués para interacción con equipos y clientes internacionales.Requisitos y calificacionesCompetencias esperadasAlta capacidad analítica y visión crítica sobre los datos.Autonomía para gestionar proyectos de punta a punta.Organización y capacidad para administrar prioridades.Comunicación clara con áreas técnicas, operativas y ejecutivas.Capacidad para transformar necesidades de negocio en soluciones analíticas.Perfil colaborativo y capacidad para orientar a profesionales con menor experiencia.Enfoque en calidad, estandarización y gobierno de datos.FormaciónTítulo universitario en Tecnología de la Información, Ciencia de Datos, Ingeniería, Estadística, Administración o áreas relacionadas.Certificaciones en Power BI, Azure, Databricks o tecnologías de datos serán consideradas un diferencial.

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What happens when you press

One press. We do the rest.

  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

    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

    Gupy (Portal de Vagas)'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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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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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.

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