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In this role, you will develop full proficiency in a range of tools and processes through job-related training and on-the-job experience. You will need to be able to apply knowledge of tools and processes to perform a range of work assignments. You need to understand how multiple teams coordinate efforts and resources to achieve objectives and be able to explain complex technical information to members of your own team and other teams.
Job Responsibility:
Data Engineering & Pipeline Development: dbt, and SQL across Snowflake, Oracle, and SQL Server environments
Support data ingestion and transformation for Salesforce objects, including opportunities, orders, accounts, and users
Contribute to improvements in data workflows
Data Modeling & Architecture: Support design of models and data marts to support reporting and analytics across financial and customer domains
Collaborate with Data Architects and Analysts to ensure alignment with business requirements and governance standards
Cross-Functional Support: Partner with Revenue Operations, Finance, and Customer Success teams to deliver actionable insights and reporting solutions
Develop familiarity with Salesforce data structures and provide support
Quality Assurance & Governance: Assist with data validation, testing, and monitoring frameworks using dbt and Informatica
Ensure data integrity and compliance with internal governance policies
Documentation & Collaboration: Maintain clear documentation of data flows, transformations, and business logic
Contribute to sprint tasks and requirements gathering
Requirements:
2+ years of experience in data or analytics roles
Strong understanding of Salesforce CRM data, financial datasets, and platform usage analytics
Experience with data modeling, ETL frameworks, and performance tuning