Senior Tax Bi & Data Architect (Remote Latam)

Ryz Labs; Buenos Aires; A distancia; ARS 69.543.000 - 115.905.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

10 days PTO

USA holidays

Remote work

Global team collaboration

Skill development

Descripción de la vacante

Prometeo Talent is recruiting a Data Analyst to join our client’s global team. The role focuses on SQL querying, data transformation, and analysis of large consumer and retail datasets to deliver actionable insights for clients and internal stakeholders.

Open to graduates and early-career professionals, the position offers 100% remote work, collaboration with a multidisciplinary team, and opportunities to sharpen SQL, BI, and analytics skills on real-world projects.

Formación

• 0–4 years of experience in Data Analytics, Reporting, BI, or similar analytical roles.
• Advanced English proficiency (written and spoken).
• Strong SQL skills including joins, filtering, aggregations, GROUP BY, and conditional logic.
• Understanding of relational databases, table relationships, and data structures.
• Experience with large datasets and data validation.
• Ability to identify trends, anomalies, and meaningful business insights.
• Bachelor’s degree in a quantitative field.

Responsabilidades

• Extract, query, and manipulate data with SQL from databases and cloud data warehouses.
• Analyse large datasets to identify trends and insights.
• Build and maintain datasets for recurring reports.
• Calculate metrics such as household penetration, market share, and category trends.
• Clean and categorize raw and semi-structured data.
• Validate outputs and perform data quality checks.
• Collaborate with teams to support reporting needs.
• Translate data into clear findings and recommendations.

Conocimientos

SQL

Advanced English

Data analysis

Attention to detail

Educación

Quantitative degree

Herramientas

Power BI

Looker

Tableau

Python basics

Descripción del empleo

Data Analyst

Prometeo Talent is a recruitment agency with a strong presence across the Americas and Europe. We specialise in connecting companies with exceptional tech and engineering professionals.

We have partnered with a U.S.-based company that specialises in marketing effectiveness measurement across various channels. They are an independent company fully dedicated to helping organisations understand consumer behaviour, purchasing trends, and market performance through data-driven insights.

We are looking for a Data Analyst to join our client’s global team. This role is open to both recent graduates and early‑career professionals who are passionate about working with data. The position focuses on querying, transforming, and analysing large-scale consumer and retail datasets to generate actionable insights for clients and internal stakeholders.

What You Will Do

• Extract, query, and manipulate data using SQL from relational databases and cloud data warehouses.
• Analyse large transactional and consumer datasets to identify trends, patterns, and business insights.
• Build and maintain structured datasets that support recurring reports and business analyses.
• Calculate key business metrics such as household penetration, market share, purchasing behaviour, and category trends.
• Work with raw and semi-structured data, cleaning and categorising information as needed.
• Validate data outputs and perform quality checks to ensure data accuracy and integrity.
• Collaborate with internal teams to support reporting needs and answer business questions through data.
• Translate complex datasets into clear findings and recommendations.

Requirements

• 0–4 years of experience in Data Analytics, Reporting, Business Intelligence, or similar analytical roles.
• Advanced English level (written and spoken).
• Strong SQL skills, including joins, filtering, aggregations, GROUP BY statements, and conditional logic.
• Understanding of relational databases, table relationships, and data structures.
• Experience working with large datasets and performing data validation.
• Ability to identify trends, anomalies, and meaningful business insights from data.
• Bachelor’s degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, Engineering, or a related quantitative field.

Nice to Have

• Experience with Common Table Expressions (CTEs), subqueries, or window functions.
• Experience working with consumer, retail, panel, transactional, or market research datasets.
• Familiarity with data visualisation tools such as Power BI, Looker, Tableau, or similar.
• Experience with text data cleaning, categorisation, or string manipulation techniques.
• Basic knowledge of Python for data manipulation and analysis.

Why Join Us?

• 10 days of PTO to recharge wherever you choose.
• Enjoy USA Holidays.
• 100% remote work—design the work-life balance that fits you best.
• Work with large-scale consumer and retail datasets that drive real business decisions.
• Collaborate with a global, multidisciplinary team.
• Develop your SQL, analytics, and business intelligence skills while working on impactful projects.