CRMA Lead
1 week ago
Position: CRM Analytics (CRMA) Einstein Model and Analytics Lead
Overview
We are looking for a CRM Analytics (CRMA) Einstein Model and Analytics Lead with proven experience in architecting, designing, and building data models (Recipes) and dashboards for Salesforce Einstein Predictive Models CRM Analytics Reporting. The ideal candidate will have expertise in designing and developing Einstein Predictive Models in conjunction with CRMA Analytics implementations.
Qualifications
Educational Background:
- Bachelors degree or equivalent experience preferred.
Desired Certifications:
- Required: CRM Analytics and Einstein Discovery Consultant
- Preferred: Salesforce Administrator
Experience:
- 5+ years of experience performing the duties of a CRMA Developer or Lead, as outlined above.
Technical Skills
- Extensive Experience implementing Einstein Predictive Analytics Models, including Custom AND OOtB Models.
- This includes all aspects of the project lifecycle: working with Stakeholders to understand Business Need, understanding Salesforce data structure and business processes, building and iterating on the Model Recipe, refining and training the model, and release and maintenance of Einstein Models.
- Familiarity with data management, data visualization, and predictive analytics tools and practices.
- Strong knowledge of SDLC best practices, including system development life cycle, project management approaches, requirements gathering, design, and testing techniques.
- Proficiency in data modelling and design, including SAQL, SOQL, and Recipe Builder.
- Expertise in CRMA dashboard design, build, and testing best practices.
- Hands-on experience integrating 3rd-party data with Salesforce as part of CRM Analytics implementations.
- Ability to translate business needs into functional requirements, communicate with development teams, and oversee development, testing, UAT, and deployment.
- Experience connecting and communicating with stakeholders, fostering collaboration and buy-in throughout the development lifecycle.
- Proficiency in project management tools such as Jira.
- Ability to support a team of developers, including task delegation and providing technical guidance.
Adaptability
- Demonstrated ability to thrive in a fast-paced environment with changing priorities and dynamic business needs.
- Passion for continuous learning and innovation in analytics and data-driven decision-making.
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