Senior Salesforce Data Cloud Analyst — Data Flows Migration

AgileEngine; Colombia; Híbrido; COP 226.845.550 - 356.471.579; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

Flextime

Mentorship and TechTalks

Descripción de la vacante

AgileEngine is seeking a Senior Business Analyst to drive a strategic migration from a legacy MDM platform. You will translate requirements into scalable Salesforce Data Cloud solutions and collaborate with marketing managers and product teams on data flows and pipelines.

Responsibilities include designing data flows, validating data quality, and supporting analytics. Excellent communication across technical and business audiences is essential for success.

Formación

• 4+ years of experience in Business Analysis or similar roles.
• Proven experience with Salesforce Data Cloud.
• Strong knowledge of Snowflake.
• Basic to intermediate knowledge of SQL.
• Ability to translate requirements from marketing to concrete use cases.
• Strong communication across technical and non-technical audiences.

Responsabilidades

• Gather requirements from marketing and product managers to define Salesforce Data Cloud use cases.
• Design and optimize data flows and integrations within Salesforce Data Cloud.
• Ensure high-quality, reliable data pipelines to support analytics and reporting.
• Collaborate with data teams, Salesforce admins, and stakeholders to bridge tech and business needs.
• Contribute to a fresh start implementation of Salesforce Data Cloud.

Conocimientos

Business analysis

Salesforce Data Cloud

Snowflake

SQL

Stakeholder communication

Herramientas

Salesforce Data Cloud

Descripción del empleo

AgileEngine is seeking a Senior Business Analyst to drive a strategic migration from a legacy MDM platform. You will translate requirements into scalable Salesforce Data Cloud solutions and collaborate with marketing managers and product teams on data flows and pipelines.

Responsibilities include designing data flows, validating data quality, and supporting analytics. Excellent communication across technical and business audiences is essential for success.