50 Einstein Analytics Jobs - Page 2

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Greetings from Compliancequest!! ComplianceQuest was founded in 2013 and is based in Tampa, Florida. ComplianceQuest is a highly flexible 100% cloud based EQMS built using the Salesforce platform. ComplianceQuest is a next generation modern cloud platform with AI powered solutions for Clinical, Quality, Health and Safety and Environment natively built and run on Salesforce technologies. We help our customers of all sizes deliver quality products and services in the safest, most sustainable way by mitigating risk, problems, and inefficiencies while protecting customers, employees, suppliers and brand. Roles & Responsibilities: Understand business requirement documents and translate them to technical and functional requirements Guide the team on the best way forward by envisioning and evaluating various design options Design systems based on the business requirements including data flows, data objects and other data transformation Ability to create and schedule data imports and synchronization jobs along with appropriate error handling Develop modules for data extraction, transformation, and validation in salesforce Understand the analytical data module and thereby create appropriate recipes Create and present data in a visually appealing manner Test the solutions and document their functionality Perform technical peer reviews to evaluate pros and cons of design

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

Job Summary : We are seeking a skilled and detail-oriented Salesforce CRM Analytics Specialist with 3 - 5 years of experience in Salesforce CRM Analytics, particularly Einstein Discovery. In this role, you will transform CRM data into actionable insights, enabling strategic business decisions across sales, marketing, and customer service. The ideal candidate will have a strong analytical mindset, hands-on experience in building predictive models, and a deep understanding of Salesforce Analytics Cloud (formerly Tableau CRM). Key Responsibilities: • Design, build, and deploy analytics dashboards and data visualizations using CRM Analytics (Tableau CRM). • Leverage Einstein Discovery to build predictive and prescriptive models that support sales performance, customer behaviour, and marketing effectiveness. • Collaborate with cross-functional teams including Sales, Marketing, Customer Service, and Business Intelligence to translate business requirements into analytical solutions. • Conduct data preparation and ETL processes within Salesforce using dataflows, recipes, and connectors. • Develop and maintain scalable data models and datasets optimized for analytics use cases. • Monitor model performance and interpret findings, ensuring high accuracy and relevance of insights. • Create and maintain documentation for analytical workflows, model assumptions, and business logic. • Drive adoption of analytics solutions through training, presentations, and ongoing support to stakeholders. Preferred candidate profile: • 3 - 5 years of hands-on experience with Salesforce CRM Analytics (Tableau CRM / Einstein Analytics). • Proven experience with Einstein Discovery: creating predictive models, interpreting results, and implementing model outputs. • Proficiency in dataflows, SAQL, and recipe-based transformations. • Strong SQL skills and understanding of relational databases. • Excellent analytical, problem-solving, and communication skills. Preferred : • Salesforce certifications such as Tableau CRM & Einstein Discovery Consultant. • Experience with Salesforce Sales Cloud or Industries Cloud integration

1. Salesforce Experience : At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. 2. Agentforce Experience : At least 2 years of experience with Salesforce Agentforce, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. 3. AI and Machine Learning Experience : At least 2 years of experience with AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. 4. Programming Skills : Strong proficiency in programming languages, such as Python, Java, and Apex. 5. Data Analysis and Visualization : Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. 6. Communication and Collaboration : Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Role & responsibilities Job Description: Salesforce Senior Engineer We are seeking a highly skilled and experienced Salesforce Senior Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and implementing advanced Salesforce solutions, ensuring seamless integration with other enterprise systems. This role requires a deep understanding of Salesforce architecture, best practices, and the ability to lead complex projects. Key Responsibilities Design, develop, and implement scalable Salesforce solutions tailored to business needs. Lead the end-to-end Salesforce development lifecycle, including design, development, testing, and deployment. Deep and broad knowledge of the Salesforce platform, including Agentforce, Salesforce Einstein features, Sales Cloud, Service Cloud, Experience Cloud, Data Cloud Collaborate with cross-functional teams to gather requirements and ensure seamless integration with other systems. Develop custom applications using Apex, Lightning Web Components (LWC), and Visualforce. Maintain data integrity and security by implementing best practices and Salesforce governance policies. Provide technical leadership and mentorship to junior developers and team members. Stay updated with the latest Salesforce features, releases, and best practices. Preferred candidate profile Qualifications Bachelor's degree in Computer Science, Information Technology, or related field. 3+ years of experience as a Salesforce Developer or Engineer. Strong proficiency in Apex, Lightning Web Components (LWC), Visualforce, and Salesforce APIs. Experience with Salesforce integration tools such as MuleSoft or similar middleware solutions. Deep and broad knowledge of the Salesforce platform, including Agentforce, Salesforce Einstein features, Sales Cloud, Service Cloud, Experience Cloud, Data Cloud. Salesforce certifications (e.g., Platform Developer I & II, Application Architect) are highly desirable. Excellent problem-solving skills and ability to work in a fast-paced, agile environment. Strong communication skills, with the ability to collaborate effectively with cross-functional teams. Preferred Skills Experience with CI/CD tools and version control systems (e.g., Git, Bitbucket). Knowledge of Salesforce CPQ, Marketing Cloud, or Service Cloud is a plus. Familiarity with Agile methodologies and project management tools (e.g., Jira).

Develop and implement solutions within Salesforce Data Cloud, focusing on data-driven insights and integrations. Design, develop, and maintain custom solutions using Apex and Lightning Web Components (LWC). Integrate Salesforce Data Cloud Required Candidate profile 3 years of experience as a Salesforce Developer with a strong focus on Salesforce Data Cloud. Completed 2 successful Salesforce Data Cloud projects. Strong skills in Apex and Lightning Web Components.

Job Title: Salesforce CRM Analytics Developer (Immediate Joiners only) Job Summary: We are seeking a highly skilled and motivated Salesforce CRM Analytics Developer to join our team. The ideal candidate will have deep expertise in Salesforce CRM Analytics (Tableau CRM / Einstein Analytics), data modeling, dashboards, and reporting. This role involves working closely with business stakeholders to design, develop, and deploy CRM Analytics solutions that drive business insights and decision-making. Key Responsibilities: Design, develop, and implement Salesforce CRM Analytics dashboards, datasets, lenses, and recipes. Work with business stakeholders to understand reporting requirements and translate them into analytical solutions. Build complex SAQL queries, dataflows, and recipes for data transformations. Perform data modeling, data blending, and preparation using CRM Analytics tools. Collaborate with Salesforce administrators, developers, and business users to integrate CRM Analytics with Salesforce Sales, Service, and Marketing Clouds. Manage data ingestion from various sources (Salesforce, external systems, CSVs, etc.). Optimize and maintain existing CRM Analytics solutions ensuring data accuracy, performance, and scalability. Provide training and support to end-users on CRM Analytics dashboards and best practices. Ensure data governance, security, and compliance within CRM Analytics. Required Skills and Qualifications: Bachelor's degree in Computer Science, Information Technology, or related field. 4+ years of experience with Salesforce CRM Analytics (Tableau CRM / Einstein Analytics). Proficient in Dataflows, Recipes, SAQL, SOQL, and JSON. Strong understanding of Salesforce data model and APIs. Experience with Salesforce CRM Clouds (Sales, Service, Marketing). Solid knowledge of ETL processes and data warehousing concepts. Experience in working with large datasets, data visualization, and storytelling. Good knowledge of security models within CRM Analytics (row-level security, data security). Experience with Einstein Discovery (preferred). Salesforce certifications such as: Tableau CRM and Einstein Discovery Consultant (preferred). Salesforce Administrator / Platform App Builder (optional but a plus). Soft Skills: Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Ability to work both independently and collaboratively. Agile and adaptable in a dynamic environment. Preferred: Experience integrating CRM Analytics with external BI tools (Tableau, Power BI, etc.). Exposure to Salesforce Lightning components, Apex, and LWC is a plus. Knowledge of AI/ML concepts with Einstein Discovery.

1. Proper Job Description - JD : Business Intelligence and Data Analysis • Discuss reporting needs with business users to identify critical KPIs and success metrics. • Design dashboards and reports that will provide data visibility into KPIs for leadership and business groups. • Review business reporting requirements and translate those requirements into technical reporting & dashboard specifications. • Develop data recipes/dataflows in CRM Analytics tool to support business requirements. • Help establish best practices and standards for dataflow, data recipe, dashboard, and report/lens development and deployment. • Perform data analysis, produce data samples/prototypes and produce ad-hoc reports. Obtain and analyze data by accessing multiple sources, including ADL, EDW and Salesforce. • Partner and collaborate with IT, platform owners and BI Analysts to provide input to project timelines, scope and risks for transformational commission initiatives. • Developing a clear understanding of system landscape, data repositories and its interrelationships. • Develop reports and processes to continuously monitor data quality and integrity issues and problems. • Locate and define new process improvement opportunities. • Perform extensive data unit testing and quality assurance (QA). Troubleshoot issues and work cross-functionally towards a solution. • Respond and resolve all assigned feedback (all priorities) within the set thresholds. • Provide guidance/governance on best practices and approaches to design, implement and sustain effective data driven analytics solutions To succeed in this role, youll need the following: • Minimum of 3+ years in Salesforce and CRM Analytics having successfully implemented at least 1 TCRM solution. • Experience working with sales, service and marketing data is highly preferred. • Technical expertise building data models and ETL techniques (Data integration using Sync, recipes and dataflows). • Expert in building Salesforce CRM Analytics Dashboard/Reporting capabilities and UX design with advanced skills in binding, SAQL and JSON. • Experience with building Einstein Discovery models and deploying/embedding the model to Sales Cloud page layouts. • Familiarity with Einstein AI components like Next Best Action, Prediction Builder, and Insights nice to have. • Experience with CRM Analytics standard/templated apps. • Experience working in an Agile/Scrum environment. • Strong verbal & written communication skills. Self-starter personality who can operate with minimal supervision • Experience in problem solving, critical thinking and priority setting. Certifications: • CRM Analytics & Einstein Discovery Certified (Must) • Salesforce Admin Certified (Preferred) 2. Primary Skills in 5 liners that manager cannot negotiate on Salesforce CRM Analytics Developer/Einstein Analytics Developer Tableau Desktop Tableau Server SQL Data warehousing 3 . Location and Flexible locations – PAN India 4. Level of experience – 3+ Years of experience in CRM Analytics

Job Title: Salesforce Developer Field Service Lightning (FSL) Experience: 57 years Timings: 1:00 PM to 9:00 PM IST Location: Gurugram, Pune, Bengaluru, Noida, Hyderabad (Hybrid 2 days in-office per week) --- Profile Summary: We are seeking an experienced and dynamic Salesforce Developer with expertise in Field Service Lightning (FSL) to join our Salesforce team. The ideal candidate will have 5–7 years of Salesforce experience, particularly in implementing and customizing FSL, and be adept in migrating legacy Salesforce applications to the latest Lightning framework. The role also demands a strong grasp of Salesforce security, Tableau CRM reporting, and Einstein Analytics. This role offers the opportunity to be a part of critical field service transformation initiatives across our enterprise ecosystem. --- Key Responsibilities: Design, configure, and customize Salesforce Field Service Lightning (FSL) to optimize field operations including scheduling, routing, and mobile technician experiences. Lead migration of legacy or unsupported Salesforce implementations to Lightning-based FSL solutions. Implement Salesforce security best practices across users, data, and mobile access for FSL. Create and maintain Tableau CRM dashboards and implement Einstein analytics for predictive field performance and operational reporting. Collaborate with product owners, field teams, and technical architects to understand requirements and translate them into scalable solutions. Configure work types, service territories, service appointments, skills, operating hours, and dispatcher consoles. Develop Lightning Web Components (LWC), Apex triggers, and flows as required for custom FSL functionality. Perform performance tuning, issue resolution, and technical documentation of custom solutions. --- Required Skills (Mandatory): 5–7 years of experience in Salesforce development with strong hands-on experience in Salesforce Field Service Lightning (FSL). Proven experience in migrating legacy Salesforce applications to the latest version with Lightning framework. Experience configuring key FSL elements: Service Appointments, Work Orders, Skills, Territories, and Scheduling Policies. Strong knowledge of Salesforce security architecture, roles, profiles, sharing rules, and mobile access control. Experience in Tableau CRM (formerly Einstein Analytics) for field reporting and Einstein AI for predictive and intelligent task recommendations. Proficiency in Apex, Lightning Web Components (LWC), Visualforce, and Flows. Strong problem-solving, debugging, and performance optimization skills. --- Required Skills (Good to Have): Salesforce certifications such as Field Service Consultant, Platform Developer I/II, or Einstein Analytics Consultant. Experience integrating FSL with ERP or third-party scheduling, inventory, or mobile management tools. Exposure to mobile-first design and FSL mobile app configurations. Familiarity with DevOps tools like Copado or Gearset for release management. Knowledge of offline capabilities and sync strategies for mobile field agents.

Mandatory Skills: - Salesforce Service Cloud - Salesforce Sales Cloud - Einstein Dialog Flow (Einstein Bots) - Unified Messaging / Messaging Channels - Case Routing - Salesforce Administration (Profiles, Permission Sets, Roles, Sharing & Security) - Aura Components - Lightning Web Components (LWC) - APEX - Salesforce Integration (extensive experience) Looking for immediate joiners. Please send your resume on qms.freelancer@gmail.com