Responsibilities

Salesforce CRM Analytics & AI Development

• Design, develop, and maintain Salesforce CRM Analytics (Tableau CRM) solutions, including dashboards, lenses, datasets, and advanced data visualizations.
• Build and optimize Einstein Analytics and AI-driven insights, such as predictive trends, opportunity scoring, forecasting support, and customer behavior analysis.
• Implement AI-powered dashboards and stories that surface key KPIs, anomalies, and actionable recommendations.

Data Integration, Modeling & Engineering

• Collaborate with business stakeholders to gather analytics and AI requirements and translate them into scalable data models and datasets.
• Design and maintain dataflows, recipes, and transformations to support high-quality analytics and AI use cases.
• Integrate external and cloud-based data sources into Salesforce using ETL and integration tools to ensure consistency and reliability.

Advanced Analytics, Reporting & Optimization

• Build and optimize complex, interactive dashboards for executive, operational, and functional users.
• Apply advanced analytics techniques (trend analysis, segmentation, cohort analysis) to uncover insights that support business strategy.
• Continuously optimize performance, usability, and scalability of analytics and AI solutions.

AI Strategy & Business Enablement

• Partner with business leaders to translate AI and analytics insights into strategic recommendations.
• Identify opportunities to leverage Salesforce Einstein features (predictions, discovery, automation, and recommendations) to improve sales performance, customer engagement, and operational efficiency.
• Support AI-driven decision-making by explaining model outputs, assumptions, and limitations to non-technical stakeholders.

Data Quality, Governance & Best Practices

• Ensure data accuracy, integrity, and reliability through validation rules, monitoring, and ongoing data quality audits.
• Follow Salesforce analytics best practices related to security, governance, and performance.
• Document analytics architectures, AI use cases, and development standards.

Enablement, Documentation & Continuous Improvement

• Create and maintain documentation for analytics solutions, AI models, and workflows.
• Provide training, support, and best-practice guidance to end users to increase adoption and data literacy.
• Stay current with Salesforce platform enhancements, Einstein AI innovations, and analytics trends, proposing continuous improvements.

Qualifications

Education

• Bachelor’s degree in Computer Science, Information Technology, Business Analytics, Data Science, or a related field (or equivalent practical experience).

Salesforce & Analytics Experience

• Strong hands-on experience with Salesforce CRM Analytics (formerly Tableau CRM / Einstein Analytics).
• Experience building dashboards, lenses, datasets, dataflows, and recipes.
• Solid understanding of Salesforce data models, objects, and relationships.
• Hands-on exposure to Salesforce Einstein AI capabilities, including predictive insights and analytics-driven automation.

AI & Advanced Analytics

• Experience applying AI or predictive analytics concepts within Salesforce (e.g., forecasting, scoring, trend prediction, anomaly detection).
• Ability to interpret AI outputs and convert them into actionable business insights.
• Understanding of responsible AI principles, data bias considerations, and model limitations.

Data Integration & ETL

• Experience with ETL and integration tools such as Data Loader, MuleSoft, Talend, Jitterbit, or similar platforms.
• Knowledge of Salesforce data import/export, data migration, and integration strategies.

Querying & Data Analysis

• Strong proficiency in SOQL and SQL for querying, analysis, and optimization.
• Ability to work with large, complex datasets and ensure performant analytics solutions.

Cloud & Platform Knowledge

• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) is a plus.
• Experience integrating cloud data sources with Salesforce analytics environments is preferred.

Skills & Competencies

• Analytical & AI-Driven Thinking: Strong ability to analyze data and leverage AI insights to solve business problems.
• Problem Solving: Proven ability to design analytics and AI solutions for complex use cases.
• Communication: Ability to clearly explain analytics findings and AI insights to technical and non-technical audiences.
• Collaboration: Strong partnership skills when working with cross-functional teams.
• Attention to Detail: High standards for data accuracy, visualization clarity, and solution quality.
• Adaptability: Commitment to continuous learning in Salesforce analytics, AI capabilities, and industry best practices.
• Time & Priority Management: Ability to manage multiple analytics initiatives with minimal supervision.

Tools & Technologies

• Salesforce CRM Analytics (Tableau CRM, Einstein Analytics) – Required
• Salesforce Einstein AI – Required
• SOQL & SQL – Required
• Salesforce Data Loader and data management tools – Required
• ETL & Integration Tools (MuleSoft, Talend, Jitterbit, SSIS) – Preferred
• Tableau, Power BI, or similar BI tools – Preferred
• Cloud Platforms (AWS, Azure, GCP) – Preferred

Additional Skills (Optional but Beneficial)

• Salesforce Certifications (Administrator, Platform App Builder, CRM Analytics & Einstein Discovery, Data Architecture & Management).
• Experience with advanced data visualization and storytelling.
• Exposure to AI governance, model monitoring, or analytics enablement programs.

Proficiency in Agentforce, Cloud 360, and D360, with the ability to leverage these platforms to optimize customer engagement, data integration, and end-to-end service management.

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