Data Analyst

Vintti; Buenos Aires; Presencial; ARS 24.921.000 - 28.243.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

In-person day in Buenos Aires

Contractor role

Descripción de la vacante

Vintti is seeking a Data Analyst to handle data conversion and migration for new clients. You will clean, normalize, and validate historical data so it fits the platform’s format, ensuring accurate onboarding for each client.

The role requires a university degree and 1–2 years of data experience, with daily SQL and Python use and fluent English for technical discussions. This is a contractor position with remote work and one in-person day per month in Buenos Aires.

Formación

• Completed university degree in Systems Engineering, Data Science, Computer Science, Business Analytics, or related.
• 1 to 2 years of work experience with data.
• Real, daily use of SQL and Python.
• Fluent English capable of technical conversations.

Responsabilidades

• Migrate and transform client data into the platform's format.
• Clean, normalize, and resolve inconsistencies in data.
• Validate data accuracy before client onboarding.

Conocimientos

SQL

Python

Fluent English

Data transformation

Educación

University degree in Systems Eng / Data Science / CS / Business Analytics

Herramientas

Alteryx

Descripción del empleo

We're Hiring: Data Analyst — Data Conversion & Migration

Remote (with 1 monthly in-person day in Buenos Aires) · USD ~1,600/month (contractor)

About the company

U.S.-based B2B software company with 20+ years in the market, focused on monitoring and maintaining underground infrastructure (water and sewer systems). Builds the software used by municipalities and contractors across the U.S. and Canada. Acquired 2-3 years ago by new investors, the company is undergoing a startup-style transformation with a strong focus on AI.

The role

When a new client joins the company, they bring historical data in the format of their previous system. This role is responsible for taking that data and migrating/transforming it into the platform's own format: cleaning, normalizing, resolving inconsistencies, and validating that everything is correct before the client starts using the system.

Must-have requirements (non-negotiable)

• Completed university degree (Systems Engineering, Data Science, Computer Science, Business Analytics, or related).
• 1 to 2 years of work experience working with data
• Real, daily use of SQL and Python
• Fluent English, able to hold a technical conversation without support.

Nice to have (not excluding)

• Experience with Alteryx or a similar ETL tool.
• Prior experience migrating or consolidating data across different systems or sources.

We're looking for someone with a practical foundation from having already worked with real, messy data.

Does this challenge excite you?