Senior Revenue Analytics Analyst - Subscriptions

AgileEngine, LLC.; Ciudad de Mendoza; Presencial; ARS 136.046.000 - 181.395.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Remote work with flexible hours

Annual learning budget

Competitive compensation

Collaborative, micromanagement-free

Descripción de la vacante

AgileEngine, LLC. is seeking a Senior Analyst to support data-driven decisions around subscriptions and promotional offers for a major OTT streaming business. You’ll build Snowflake tables, Tableau dashboards, and reports that translate complex data into clear insights for Finance, Marketing, and Product teams.

Daily work revolves around SQL, Python, and strong analytical judgment, with an emphasis on data accuracy, ad hoc requests, and collaboration within the Insights & Analytics team.

Formación

• 4+ years of experience with independent project ownership for the Senior Analyst level.
• Fluent/business-level English (written and verbal).
• College degree in Mathematics, Statistics, Industrial Engineering, Data Science, Economics, Operations Research, Computer Science, or equivalent work experience.
• Daily proficiency in SQL, Snowflake, Tableau, Excel, and Python.

Responsabilidades

• Develop analytical and reporting database tables to track subscriptions and promotions performance.
• Produce and maintain monthly financial reports with variance analysis and explanations.
• Build Tableau dashboards summarizing metrics for Finance, Marketing, and Product teams.

Conocimientos

SQL

Snowflake

Tableau

Python

CTEs

Window functions

Date functions

Educación

Mathematics

Statistics

Data Science

Economics

Computer Science

Herramientas

AWS S3

SageMaker

Airflow

dbt

Descripción del empleo

AgileEngine, LLC. is seeking a Senior Analyst to support data-driven decisions around subscriptions and promotional offers for a major OTT streaming business. You’ll build Snowflake tables, Tableau dashboards, and reports that translate complex data into clear insights for Finance, Marketing, and Product teams.

Daily work revolves around SQL, Python, and strong analytical judgment, with an emphasis on data accuracy, ad hoc requests, and collaboration within the Insights & Analytics team.