Remote Data Analyst — SQL, Python & ML Insights

Fullstack; Rosario; A distancia; ARS 92.241.000 - 184.482.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

10 days PTO

USA holidays

100% remote work

Descripción de la vacante

Fullstack is seeking a Data Analyst to work remotely, focusing on querying, transforming, and analyzing large consumer datasets to deliver actionable insights for education marketing partners.

You will validate data quality, build scalable datasets, and collaborate with cross-functional teams to support reporting and decision-making. Strong English skills and experience with SQL and BI tools are essential.

Formación

• 3+ years in data analytics, reporting, or BI roles.
• Experience with SQL and data validation on large datasets.
• Familiarity with GA4/GA data quality is a plus.

Responsabilidades

• Extract, query, and manipulate data from relational databases and cloud warehouses.
• Analyze large transactional datasets to identify trends and actionable insights.
• Build and maintain datasets supporting recurring reports and analyses.
• Calculate key business metrics such as market share and consumer behavior.
• Prepare data for reporting and ensure data quality and integrity.
• Collaborate with teams to meet reporting needs and answer business questions.
• Translate findings into clear recommendations for stakeholders.

Conocimientos

Advanced English

SQL proficiency

Data analysis mindset

Communication skills

Problem solving

Educación

Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, Engineering, or related quantitative field

Herramientas

Power BI

Looker

Tableau

Python

Descripción del empleo

Fullstack is seeking a Data Analyst to work remotely, focusing on querying, transforming, and analyzing large consumer datasets to deliver actionable insights for education marketing partners.

You will validate data quality, build scalable datasets, and collaborate with cross-functional teams to support reporting and decision-making. Strong English skills and experience with SQL and BI tools are essential.