Salesforce Einstein Analytics Engineer

2 - 6 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

The ideal candidate will possess the ability to lead in both technical and business-oriented conversations, delivering various Salesforce Einstein Analytics solutions for clients in the US. This role involves the delivery of strategic analytics data solutions and reporting on Salesforce Einstein, requiring monitoring, analyzing data and trends, and effectively communicating business results to clients. Additionally, the candidate will collaborate on strategic initiatives to ensure optimal outcomes. Key Competencies: - Excellent communication skills for client interaction in the US. - 5+ years of consulting or Analytics implementation experience. - 5+ years of Salesforce platform experience. - 2+ full life cycle projects with expertise in Salesforce Einstein implementations. - 2+ years of Salesforce Einstein Analytics experience. - Proficiency in SQL, SAQL, SOQL, and JSON. - Familiarity with BI tools (Domo, Qlik, Microstrategy, Tableau, etc.) and ETL Tools (Informatica, etc.). - Certification in Einstein Analytics and Discovery Consultant. - Bachelor's degree in technology, engineering, or related discipline. Key Responsibilities: - Collaborate with agile matrixed teams at US clients to build Salesforce Einstein solutions supporting business requirements. - Provide expertise in Einstein Analytics application, dataset management, security, visualization/dashboard creation. - Deliver strategic reporting & AI solutions on Salesforce Einstein. - Stay updated on new features of the tool, recommend enhancements, and develop Einstein Analytics applications. - Offer guidance on implementation best practices and perform custom development and integrations. - Assist with technical design, documentation, and drive new technologies like AI and Smart Data Discovery. - Develop knowledge artifacts on Salesforce Einstein and maintain effective communication within the team. - Participate actively in technical discussions and promote a culture of observability for platform performance and stability.,

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