Salesforce Analytics Engineer

We are seeking a skilled Business Intelligence Business Analyst/Analytics Engineer to lead data-driven solutions between AWS and Sales force. The role requires expertise in feature store development, CRM systems, data cloud tools, and model building within Salesforce. Strong skills in Python, SQL, and AWS are essential. The candidate will ensure seamless data integration, build segmentation models, and enhance client engagement.

Key Responsibilities:

• Feature Store Development: Design and maintain features in AWS feature stores for data-driven models.
• Data Integration: Oversee data integration between AWS and Salesforce, ensuring smooth pipelines.
• Salesforce Expertise: Build data solutions using Salesforce Marketing Cloud, CRM, FSC, and Data Cloud.
• Model Building: Develop segmentation models in Salesforce to optimize customer engagement.
• Code Development: Automate data workflows using Python and SQL across AWS and Salesforce.
• Collaboration: Partner with cross-functional teams to align business objectives with technical solutions.
• Data Management: Ensure data quality, governance, and compliance within the organization’s architecture.
• Automation: Enhance data workflow automation between AWS and Salesforce.

Required Qualifications:

• Feature Stores: Experience building and managing AWS feature stores.
• Salesforce Expertise: Proficient in Salesforce Marketing Cloud, CRM, and Data Cloud.
• Technical Skills: Python, SQL, AWS (S3, Redshift, Glue, SageMaker).
• Modeling: Experience building segmentation models within Salesforce.
• Data Integration: Expertise in AWS-Salesforce integration and data pipelines.

Preferred Qualifications:

• AWS and Salesforce certifications.
• Familiarity with Salesforce Datorama and Einstein Analytics.
• Data Analytics qualification.
• AI/ML experience.

Location: Johannesburg
Experience: 5+ years (Intermediate to Senior)

Salt is acting as an Employment Business in relation to this vacancy.