Location: SAN DIEGO, CA
Experience: 10 Years
Job description
We are looking for an accomplished Data Analytics Lead Engineer who possesses robust expertise in designing and delivering analytics solutions, with Salesforce Service Cloud (SFSC) serving as the primary source system. The ideal candidate must have deep, hands-on experience with Google BigQuery and DBT, encompassing data modelling and analytics architecture. Additionally, the role demands the capability to comprehend SFSC and Oracle Service Cloud (OSC) data models and workflows to create scalable reporting, generate actionable business insights, and support strategic decision-making.
Experience Requirements
A minimum of 10 to 12 years of experience in Data Engineering and Analytics roles.
Technical Skills and Tools
Advanced proficiency with Google BigQuery, including complex SQL development, performance tuning, and managing large-scale datasets.
Expertise in DBT for data transformations, data modelling best practices, and dependency management. Strong foundation in data modelling and analytics solution architecture. Experience in designing Tableau dashboards and enterprise reporting, with a focus on performance optimisation. Platform and Domain Expertise
Demonstrated ability in building analytics layers on top of Salesforce Service Cloud (SFSC) data sources.
Proven track record in developing CRM-sourced analytics, preferably using Salesforce Service Cloud.
Prior experience in leading or owning analytics design for enterprise-level platforms.
Adeptness in collaborating with cross-functional and geographically distributed teams.
Comprehensive familiarity with Salesforce Service Cloud (SFSC) and/or Oracle Service Cloud (OSC) data models.
Solid understanding of service workflows, including cases, customer interactions, and SLAs.
Experience in sourcing, interpreting, and customising CRM/service data to address analytics requirements.
Mandatory Skills : GCP BigQuery, Tableau
