49 Einstein Analytics Jobs

About Quess IT Staffing: Quess IT Staffing specializes in connecting organizations with IT talent who possess the required skills and align with the client organization's vision and goals. This commitment has established Quess IT Staffing as one of the largest and most sought-after IT staffing companies in India. The professional staffing solutions are strategically designed to help businesses secure highly qualified candidates, including seasoned experts, niche specialists, or those with unique technical skills. In addition to staffing, Quess IT Staffing provides tailored IT solutions such as Digital Workplace Services, Cloud & Datacentre Services, and Managed Network Services to ensure robust infrastructure and seamless operations. As India's largest and global leader in staffing and workforce solutions, Quess empowers businesses to enhance productivity through deep domain expertise and a future-ready workforce powered by AI-driven digital platforms. With a strong presence across 8 countries, a workforce exceeding 460,000 professionals, and over 3,000 clients worldwide, Quess has evolved into an industry powerhouse in just 17 years, delivering transformative impact across sectors. The comprehensive range of technology-driven staffing and managed outsourcing services cater to leading industries like BFSI, Retail, Telecom, Manufacturing, IT, GCCs, BPO services, and more. Job Description: As a Salesforce CRM Analytics Developer at Quess IT Staffing, you will contribute to developing meaningful reports, dashboards, and data preparation in Salesforce CRM Analytics to support data-driven decision-making at all levels of the company. The ideal candidate should have a minimum of 5 years of experience as a Salesforce CRM Analytics Developer with strong data analytical skills and hands-on experience in SAQL query writing. Experience in developing recipes, dataflows, lenses, and dashboards is essential. Moreover, the candidate should have expertise in data security, permission sets, profiles, data integration, and performance optimization in CRM Analytics. Excellent communication skills are required, along with knowledge of the Salesforce platform, Lightning Pages, data modeling, SOQL, and experience in Agile Scrum methodology. Good to have skill: Experience in Einstein Discovery, developing Tableau workbooks, Tableau Data Prep, managing Tableau Servers, good knowledge of SQL, and experience or knowledge of Informatica. Application Process: To fast-track your application, HYRGPT (AI Agent) will guide you through a seamless screening process: Step 1: Automated Screening - HYRGPT evaluates your responses to basic qualification questions to determine if you meet the roles requirements. Step 2: Virtual First-Round Interview - If you pass the screening, HYRGPT conducts a short AI-driven interview tailored to your role, ensuring a fair and timely evaluation. Step 3: Live Interview - Shortlisted candidates will proceed to live interviews with our hiring team.,

NTT DATA strives to hire exceptional, innovative, and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Salesforce Architect - Financial Service Cloud to join our team in Gurgaon, Haryana (IN-HR), India (IN). As a Salesforce Architect - Financial Service Cloud, your responsibilities will include developing a comprehensive understanding of our clients" needs to create thorough configuration designs, use cases, test conditions, and training documentation to support the successful implementation of initiatives and processes. You will collaborate with business stakeholders, solution architects, and designers to define the technical architecture on Sales Cloud, Service Cloud, Marketing functions, and integration patterns, effectively communicating to the build teams. Documenting the technical architecture and design, including wireframing the architecture designs using tools to create architecture diagrams to capture the future state improved processes, will be a crucial aspect of your role. You will also communicate with both business and technical teams to ensure Salesforce best practices and provide technical guidance. **Required Qualifications:** - 8 Years of experience implementing enterprise-level projects in Salesforce.com / Force.com platform across core modules - Experience with Financial Service Cloud is mandatory - 2+ Years of experience as a Technical Architect ensuring Salesforce best practices and providing technical guidance to business and technical teams - 5 Years of Apex, Visualforce, SOQL/SOSL, App Exchange experience - 5 Years of Lightning development experience including lightning component, Lightning Connect, Lightning App builder experience - 5 Years of integration development experience in Salesforce Integration Patterns: SOAP/REST web services, APIs, batch processes, connectors, middleware **Preferred Experience:** Experience with Enterprise Architecture is preferred. Hands-on experience in Field Service Lightning, CPQ, Einstein Analytics, and Vlocity is a plus. **Ideal Mindset:** - Guidance: Provide technical direction and support to the team - Attention to details: Strong attention to detail in developing the technical requirements and understanding the needs of the client. If you are ready to take on this challenging role and contribute to our team, apply now and be a part of NTT DATA's journey towards innovation and success. About NTT DATA: NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize, and transform for long-term success. With diverse experts in more than 50 countries and a robust partner ecosystem, our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is a part of NTT Group, investing over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com.,

As a skilled and experienced Salesforce Einstein Developer, you will be joining our team with a profound knowledge of Salesforce CRM Analytics (Einstein Analytics) and Salesforce development tools like Apex, Visualforce, and Lightning. Your primary responsibilities will include developing enterprise-level CRM Analytics strategies, creating advanced visualizations/analytics, and implementing row-level security through Security Predicates and Sharing Inheritance. You should be proficient in building complex dataflows and recipes within Einstein Analytics, and have hands-on experience with AI tools such as Einstein Discovery, Einstein Prediction Builder, and Einstein Bots. Additionally, familiarity with Salesforce administrative tasks like managing Users, Roles, Profiles, configuring Page Layouts, and setting up Flows is essential. Experience in full-cycle Salesforce implementations using Agile, Scrum, Waterfall, and Test-Driven Development methodologies is required. You should also possess strong collaboration skills to work effectively with QA teams and demonstrate leadership abilities to work independently and across all organizational levels. In return, we offer competitive compensation and benefits, a collaborative and innovative work environment, exposure to impactful projects with leading clients, and flexible working hours. To apply for this position, please send your resume and availability details to anamika.tiwari@obrimo.com.,

Rently is seeking an experienced and technically skilled Salesforce Administrator to take charge of the administration, optimization, and technical governance of the Salesforce ecosystem. As the Salesforce Administrator, you will play a pivotal role in supporting various clouds such as Sales Cloud, Service Cloud, Revenue Cloud, and Marketing Cloud, facilitating scalable automation, security enforcement, and ensuring high availability for critical business operations. Your expertise will be instrumental in transitioning from third-party management to an in-house Salesforce Center of Excellence. You will serve as the primary technical administrator for the multi-cloud Salesforce architecture across different business units. Your responsibilities will include configuring and managing users, permission sets, profiles, roles, public groups, and OWD/sharing settings. Additionally, you will be tasked with developing and overseeing declarative automation processes such as Flows, Process Builder, Approval Processes, and Validation Rules. Implementing security best practices, creating and maintaining data models, and administering Marketing Cloud Account Engagement are also essential aspects of this role. Furthermore, you will be required to oversee CPQ, Spiff, and Revenue Cloud configurations, build advanced reports and dashboards for executive stakeholders, and collaborate with engineering for custom development integration. Your role will involve supporting production deployments, UAT cycles, and documentation for audits and governance reviews. The ideal candidate should possess at least 5 years of experience as a Salesforce Administrator in a multi-cloud organization, along with a Salesforce Certified Administrator credential. Hands-on experience with Flow Orchestrator, Dynamic Forms, and Custom Metadata Types is preferred. Strong knowledge of data architecture, API integrations, and platform event handling is essential, as well as familiarity with tools like Workbench, Data Loader, and VS Code with Salesforce CLI. Experience with Change Set deployments, unlocked packages, and DevOps tools is beneficial. The ability to manage high-volume environments and optimize login-based licenses is crucial. Moreover, expertise in administering and maintaining custom eCommerce portals built on Salesforce Experience Cloud is advantageous. Joining Rently offers the opportunity to be part of a rapidly growing PropTech company and lead Salesforce platform governance at an enterprise scale. You will collaborate with a tech-forward team and gain exposure to a modern stack including Marketing Cloud, Revenue Cloud, Spiff, and CPQ. Competitive compensation, a flexible work environment, and a strong ownership culture are some of the perks of being a part of the Rently team.,

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.,

Driven by the passion to improve the quality of people's lives, WS Audiology continues to grow as a market leader in the hearing aid industry. With a commitment to increasing penetration in an underserved hearing care market, we aim to accelerate our business transformation to reach more people more effectively. We are currently looking for a highly skilled and motivated Salesforce CRM Specialist to join our dynamic team. As a Salesforce CRM Specialist, you will be responsible for managing and optimizing our Salesforce CRM platform to enhance business processes and improve customer relationships. This role involves collaborating with various departments to gather requirements and customize the Salesforce environment. In this role, you will: - Design, develop, and implement scalable and secure custom solutions using Apex, Visualforce, and Lightning Web Components (LWC). - Build and manage integrations between Salesforce and external systems using REST/SOAP APIs, middleware, or other technologies. - Write clean, reusable, and efficient code following Salesforce development best practices. - Collaborate with stakeholders to gather requirements and translate business needs into technical solutions within the Salesforce platform. - Perform rigorous testing, debugging, and troubleshooting to ensure high-quality deliverables. - Manage and streamline Salesforce release cycles, ensuring smooth deployment and adherence to version control best practices. - Provide operations support to all end-users globally using Jira. - Create and maintain detailed technical documentation for processes, customizations, and configurations. - Stay updated with Salesforce updates and implement development standards and best practices. - Work closely with cross-functional teams to deliver solutions that align with organizational goals. To be successful in this role, you should have: - 5+ years of hands-on experience in Salesforce development, with a deep understanding of Apex, Visualforce, LWC, and Salesforce integrations. - Experience working with REST/SOAP APIs, third-party tools, and middleware platforms. - Proven experience managing Salesforce release cycles, including sandbox management and version control. - Strong understanding of Salesforce security, governor limits, and performance optimization techniques. - Excellent analytical and troubleshooting skills to identify and resolve complex technical issues. - Salesforce Platform Developer I certification (required); Platform Developer II certification (most preferable) and other Salesforce certifications (preferred). Good to have skills include Data Cloud & AI, Einstein Analytics, Marketing Cloud, and CI/CD knowledge. Personal competencies required for this role include continuous skill enhancement and knowledge growth, good written and verbal communication skills, self-motivation, detail-oriented approach, and being a good team player. At WS Audiology, we provide innovative hearing aids and hearing health services. Join our global team of 12,000 colleagues in 130 countries to help unlock human potential by bringing back hearing for millions of people around the world. We value care, diversity, and celebrating successes. If you are ready to be part of our global company, we look forward to hearing from you.,

You will be responsible for leading Cognizant's Global Campaign Management Operations function, overseeing the design and delivery of multi-channel campaigns worldwide. This role involves utilizing marketing technology tools and processes to support Cognizant's marketing initiatives. Your primary focus will be on managing the people, processes, and tools involved in delivering marketing campaigns and events. Collaboration with senior leaders across the organization is essential to align campaign processes with marketing objectives. It's important to note that this is an internal role and does not involve consulting for Cognizant clients. As the Global Campaign Management Operations Lead based in India, you will lead a team of Campaign Operations subject matter experts (SMEs) who are responsible for designing, delivering, and optimizing data-driven campaigns for Cognizant's field marketing teams and corporate marketing functions. Your responsibilities will include managing campaign processes, lead management, contact nurture capabilities, resource utilization, and detailed campaign performance reporting. Regularly presenting campaign performance reports to marketing stakeholders and leadership will be part of your role. Additionally, collaborating with internal marketing clients on campaign strategies and monitoring key performance indicators to provide insights for continuous improvement are key aspects of this position. In terms of Campaign Automation, you will be in charge of utilizing campaign delivery platforms within Cognizant's Marketing technology stack and ensuring compliance with relevant policies and security provisions. Collaborating with MarTech leadership and IT to develop and manage a campaign operations technologies roadmap and strategy, including AI development, will be crucial. Driving campaign technology adoption across stakeholders through training, presentations, and tools and resources is also part of your responsibilities. Staying updated on the Marketing Technology landscape, identifying new technologies, and trends in the industry are essential for this role. To qualify for this position, you should have a Bachelor's Degree in marketing, business, computer science, or a related field, with a preference for a Master's degree. You should have over 15 years of hands-on experience in marketing technology, digital marketing, marketing operations, demand generation, with B2B experience being preferred. Additionally, having over 10 years of experience in building and leading marketing technology teams and projects is required. Deep expertise across various marketing technology platforms such as Marketing Automation, CRM, Analytics, Events, Webinars, CDP, etc., is essential. Specific product knowledge across platforms like Pardot, Marketing Cloud, Adobe Analytics, Tableau, Sales Cloud, Einstein Analytics, Cvent, AEM Sites, AEM Assets, and Workfront is preferred. Strong communication and presentation skills are necessary, as you will be translating complex data and insights into actionable recommendations for senior leadership and stakeholders. You should also have the ability to instigate a continuous improvement and shared accountability culture, collaborating and influencing teams to address operational risks, resolve escalations, and manage internal clients" expectations effectively.,

NTT DATA is looking for a Salesforce Developer- Agentforce,Experience cloud to join their team in Pune, Maharashtra (IN-MH), India. As a Senior Salesforce Developer, your responsibilities will include leading the design, development, and implementation of AI-driven solutions using Salesforce Einstein features for Sales & Experience cloud. You will collaborate with architects and AI engineers to design solutions for predictive analytics, customer insights, and automation. Integrating third-party applications and data sources with Salesforce via APIs will be a key aspect of your role. You will work closely with product managers, data scientists, and developers to ensure successful implementation of AI/ML solutions aligned with business goals. This includes implementing automated workflows and intelligent data-driven decision systems within Sales Cloud and Experience Cloud. You will be responsible for designing and developing scalable solutions in Salesforce Agentforce and Experience Cloud environments, building and customizing Lightning components, Apex classes, Visualforce pages, Flows, and APIs to support agent and customer portals. Furthermore, you will design and implement seamless integrations with core systems such as policy administration, claims, billing, and document management via REST/SOAP APIs, middleware (e.g., MuleSoft, Boomi), or event-driven architectures. Developing custom components, templates, and branded sites within Experience Cloud to support self-service and agent experiences will also be part of your responsibilities. Gathering requirements from stakeholders and translating them into technical solutions, maintaining and optimizing data models, sharing rules, and user roles for different Experience Cloud personas, and ensuring best practices in coding, testing, and DevOps deployment strategies are also key aspects of the role. Troubleshooting production issues, providing ongoing support for Salesforce-based applications, participating in Agile ceremonies, and maintaining technical documentation are part of the responsibilities as well. To be successful in this role, you should have 7+ years of overall experience in Salesforce development with at least 2+ years of hands-on experience in Salesforce AI Solutions development. Expertise in Salesforce Einstein AI features, customizing applications using Apex, LWC, Lightning Flows, data modeling, data integration using REST APIs, handling large datasets within Salesforce, machine learning algorithms, Salesforce architecture, NLP, image recognition, sentiment analysis, AI governance, model explainability, data ethics, and leveraging structured and unstructured data for ML and NLP solutions are required qualifications. Preferred skills include Salesforce certifications in Einstein Analytics and Discovery Consultant, Salesforce Platform Developer II, or Salesforce Certified AI Associate, experience in Salesforce Data cloud, Salesforce Agentforce, Apex, Lightning Web Components (LWC), SOQL, Flow Builder, integrating Salesforce with external systems, designing and managing Experience Cloud sites, and Salesforce certifications like Platform Developer I/II, Experience Cloud Consultant, Integration Architecture Designer. Join NTT DATA, a trusted global innovator of business and technology services, and be part of a diverse team committed to helping clients innovate, optimize, and transform for long-term success. Visit us at us.nttdata.com.,

Driven by the passion to improve the quality of people's lives, WS Audiology continues to grow as a market leader in the hearing aid industry. With a commitment to increasing penetration in an underserved hearing care market, we aim to accelerate our business transformation to reach more people more effectively. We are looking for a highly skilled and motivated Salesforce CRM Specialist to join our dynamic team. As the Salesforce CRM Specialist, you will be responsible for managing and optimizing our Salesforce CRM platform to enhance business processes and improve customer relationships. Your role will involve collaborating with various departments to gather requirements and customize the Salesforce environment. As a Salesforce CRM Specialist at WS Audiology, your responsibilities will include: Custom Development: Design, develop, and implement scalable and secure custom solutions using Apex, Visualforce, and Lightning Web Components (LWC). Integration Expertise: Build and manage integrations between Salesforce and external systems using REST/SOAP APIs, middleware, or other technologies. Code Optimization: Write clean, reusable, and efficient code following Salesforce development best practices. Solution Design: Collaborate with stakeholders to gather requirements and translate business needs into technical solutions within the Salesforce platform. Testing & Debugging: Perform rigorous testing, debugging, and troubleshooting to ensure high-quality deliverables. Release Management: Manage and streamline Salesforce release cycles, ensuring smooth deployment and adherence to version control best practices. Support Management: Provide operations support to all end-users globally using Jira. Documentation: Create and maintain detailed technical documentation for processes, customizations, and configurations. Best Practices: Stay updated with Salesforce updates and implement development standards and best practices. Collaboration: Work closely with cross-functional teams, including administrators, architects, and business analysts, to deliver solutions that align with organizational goals. What you bring: Salesforce Expertise: 5+ years of hands-on experience in Salesforce development, with a deep understanding of Apex, Visualforce, LWC, and Salesforce integrations. Knowledge: Experience working with REST/SOAP APIs, third-party tools, and middleware platforms. Release Management: Proven experience managing Salesforce release cycles, including sandbox management and version control (e.g., Git). Best Practices: Strong understanding of Salesforce security, governor limits, and performance optimization techniques. Problem-Solving: Excellent analytical and troubleshooting skills to identify and resolve complex technical issues. Certifications: Salesforce Platform Developer I (required); Platform Developer II (Most Preferable) and other Salesforce certifications (preferred). Good to have Skills: Data Cloud & AI Einstein Analytics Marketing Cloud CI/CD knowledge Personal competencies: Continuous Skill Enhancement and Knowledge Growth. Good written and verbal communication skills. Self-motivation to take ownership of tasks and deliver results independently. Detail-oriented approach to ensure quality in deliverables. Good team player. Who we are: At WS Audiology, we provide innovative hearing aids and hearing health services. Together with our 12,000 colleagues in 130 countries, we invite you to help unlock human potential by bringing back hearing for millions of people around the world. With us, you will become part of a truly global company where we care for one another, welcome diversity, and celebrate our successes. Sounds wonderful We can't wait to hear from you.,

The SalesForce Program Development Team within DWS Global Technology in Bangalore, India is looking to hire a Senior Developer. In this role, you will have the opportunity to work on SalesForce projects related to Client Relationship Management (CRM), Know Your Customer (KYC), and regulatory compliance for DWS Asset Management. You will be responsible for analyzing and developing components to support SalesForce project deliverables, collaborating with business and technical teams, and ensuring high-quality solutions are delivered to meet client needs. Your responsibilities will include working with Business Analysts and Project Managers, creating technical solutions, collaborating with the development team, and performing Senior Developer duties to maintain and support existing code components. To be successful in this role, you should have 15 to 22 years of experience in SalesForce configuration and development, preferably in the financial sector or a similar regulated industry. You should be proficient in SalesForce technologies such as Sales Cloud, Service Cloud, Marketing Cloud, and related packages like APTTUS and GEOPOINTE. Experience with SOQL, Lightning Components, Visualforce Components, Apex Classes, and other SalesForce CRM technologies is required. Additionally, you should have excellent problem-solving skills, strong communication abilities, and experience working with tools like IntelliJ, Bitbucket, Git, and more. As a part of our team, you will receive benefits such as best in class leave policy, parental leaves, childcare assistance, sponsorship for certifications, and comprehensive insurance coverage. We offer training and development opportunities, coaching from experts, and a culture of continuous learning to support your career growth. At DWS Global Technology, we strive for a culture of excellence and collaboration, where we celebrate the success of our employees and work together towards our goals. For more information about our company and values, please visit our website at https://www.db.com/company/company.htm. We welcome applications from diverse backgrounds and are committed to fostering a positive, fair, and inclusive work environment at Deutsche Bank Group.,

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether its medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity . FourKites is looking for a data analyst to support business intelligence and analytics efforts throughout our organization and identify opportunities for improvements through data-driven decision making. This new team member will work in our Customer Operations team matching the US Central time zone and work cross-functionally with sales, product, operations and engineering. What you'll be doing Data mining using state-of-the-art methods Extending companys data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems, incl robust ETL process Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results & insights in a clear manner Creating automated anomaly detection systems and constant tracking of its performance Establishes the performance baselines, builds dashboards, and transforms data through the use of SQL/Python Programming and SalesForce plugins. Analyzes performance in terms of revenue, cost and service to identify opportunities to optimize service level, maintain efficiency and minimize cost. Provides guidance to developing performance metrics, data structure required and connect them to business goals and objectives. Supports ad-hoc requests from the leadership team by providing data driven conclusions and recommendations to help drive customer retention and growth. Who you are Only for someone from Tier 1 College background (Mandatory) & Salesforce Analytics experience Bachelor’s degree in Mathematics, Business, Economics, or other related fields. Preferred Master’s degree in Data Analytics or a related field 5 years of related work experience in data analytics, sales operations, management consulting or supply chain management area Strong analytical, problem solving and quantitative analysis skills using structured and unstructured data. Excellent business acumen with ability to translate technical findings into clear business recommendations and understand which metrics actually matter SQL proficiency - Master complex queries, data modeling, and optimization for efficient data extraction and manipulation Python/R expertise - Build analysis pipelines, automate data processes, and create statistical models Data visualization - Create compelling dashboards with tools like Tableau or similar BI tools that drive business decisions Salesforce Analytics expertise - Utilize Salesforce Analytics Cloud (Einstein Analytics) to create actionable dashboards and extract customer insights Working knowledge of Microsoft Azure or AWS, SalesForce, Jira and Confluence Solid knowledge of database, data lake, data analytics and visualization tools. Strong written and verbal communication skills. Strong planning, project management and organizational skills. High attention to quality, detail & pivoting to scrappy solutions when needed. Ability to work individually or within a team in a fast paced environment.

We are seeking a skilled Salesforce Developer & Technical Designer with 46 years of hands-on experience in designing and developing scalable, high-performing Salesforce applications. The ideal candidate will lead technical solutioning, design architecture, and deliver end-to-end Salesforce implementations with a focus on Apex, Lightning Components, and platform best practices. Key Responsibilities: Translate business requirements into scalable and maintainable Salesforce solutions. Design technical architecture using Salesforce best practices for development, security, and integration. Develop custom solutions using Apex Classes/Triggers , Lightning Web Components (LWC) , Visualforce , and Salesforce Flows . Configure and customize Salesforce Sales Cloud, Service Cloud , and other related modules. Collaborate with functional consultants, architects, and business stakeholders to ensure alignment of technical design with business goals. Integrate Salesforce with third-party systems using REST/SOAP APIs , middleware , or ETL tools . Perform code reviews, enforce coding standards, and mentor junior developers. Participate in data migration, environment management, and deployment planning. Write technical documentation including design specs, deployment plans , and user guides. Stay updated on new Salesforce features and recommend improvements for platform efficiency and user experience. Required Skills & Qualifications: 4 to 6 years of experience in Salesforce development and platform architecture. Proficiency in Apex, Lightning Web Components (LWC), SOQL, SOSL , and JavaScript . Strong experience in Salesforce configuration including Object Model, Flows, Process Builders, Validation Rules, Workflows . Experience with REST/SOAP APIs , third-party integrations, and OAuth authentication . Good understanding of Salesforce deployment tools (Ant, Copado, Change Sets, Salesforce CLI). Strong knowledge of data modeling , sharing and security model , and role hierarchy . Excellent problem-solving and communication skills. Preferred Skills (Good to Have): Salesforce certifications such as: Salesforce Platform Developer I & II Salesforce Application Architect or System Architect Salesforce Admin or Advanced Admin Experience with DevOps and CI/CD pipelines for Salesforce. Familiarity with Agile/Scrum development methodologies. Exposure to Salesforce DX , Visual Studio Code , Git . Experience with Einstein Analytics , Experience Cloud , or Marketing Cloud is a plus.

Role & responsibilities JD : Job Summary: We are seeking a 04 skilled Salesforce Developer with 3+ years of experience to join our dynamic team. The ideal candidate should have strong expertise in Salesforce Administration, Lightning Web Components (LWC), configuration, and customization. You will be responsible for developing, implementing, and optimizing Salesforce solutions to enhance business processes and user experience. Key Responsibilities: • Develop and customize Salesforce applications using LWC, Apex, Visualforce, and Lightning components. • Configure and manage Salesforce objects, fields, workflows, validation rules, and process automation. • Perform Salesforce administration tasks, including user management, security settings, and data management. • Integrate Salesforce with third-party applications using REST/SOAP APIs. • Troubleshoot and resolve technical issues, ensuring optimal performance of Salesforce applications. • Collaborate with stakeholders to gather business requirements and translate theminto scalable solutions. • Stay updated with the latest Salesforce releases and best practices. • Develop and maintain technical documentation for system processes and customizations. Required Skills & Qualifications: • 3+ years of experience as a Salesforce Developer. • Strong proficiency in Salesforce Admin, LWC, Apex, Visualforce, and SOQL/SOSL. • Hands-on experience in Salesforce configuration (custom objects, workflows, validation rules, process builder, and flows). • Experience in Salesforce customization, including triggers, batch jobs, and scheduled jobs. • Knowledge of Salesforce integrations using REST and SOAP APIs. • Familiarity with CI/CD tools, version control (Git), and deployment tools (Copado). • Salesforce Administrator and Platform Developer I certification, Einstein Analytics(Prefferd) . • Strong problem-solving skills with attention to detail. • Excellent communication and collaboration abilities. Nice-to-Have: • Experience with Salesforce CPQ, Service Cloud, or Sales Cloud. • Knowledge of JavaScript frameworks (React, Angular, etc.) for frontend integration. • Understanding of Agile/Scrum methodologies.

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We need einstein analytics DEVELOPERS FOR PUNE. HYD, BANGALORE FOR US MNC CMM 5 CLIENT SKILL : Salesforce CRM with LWC and einstein analytics EXP 6+ YEARS SALARY 20 LPA LOCATION ; PUNE. HYD, BAN CODE SFDC CRM Einstein nalytics 1 YEAR C2H 17 JULY 25 SEND CV TO [HIDDEN TEXT] Give Details like Current, Expected Salary Willing for C2H Notice period Thanks and rgds BALAJI B VP HR BR RAYSOFT GLOBAL P LTD 9381035905

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.

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.

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.

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.