Salesforce CRM Analytics Specialist

Accenture in the Philippines; Philippines; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Accenture in the Philippines seeks a Salesforce CRM Analytics & AI Specialist to transform data into actionable intelligence. You will build dashboards, predictive models, and AI-powered insights using Tableau CRM and Einstein AI, partnering with business teams to translate outputs into recommendations.

You will work with Salesforce admins, developers, and data engineers to ensure scalable, trusted analytics aligned with business goals while leveraging Agentforce, Cloud 360, and D360 for

Qualifications

• Bachelor’s degree in a related field or equivalent practical experience.
• Hands-on Salesforce CRM Analytics (Tableau CRM) and Einstein AI experience.
• Ability to design dashboards, datasets, dataflows, and recipes.
• Experience with SOQL/SQL and data integration tools.
• Strong communication and stakeholder collaboration skills.

Responsibilities

• Design, develop, and maintain Salesforce CRM Analytics solutions (Tableau CRM).
• Build Einstein Analytics and AI-driven insights, including predictive trends and scoring.
• Implement AI-powered dashboards highlighting KPIs, anomalies, and recommendations.
• Collaborate with stakeholders to translate analytics needs into scalable data models.
• Maintain dataflows, recipes, transformations, and data integrations across sources.

Skills

Analytical thinking

AI-driven thinking

Communication

Collaboration

Attention to detail

Time management

Problem solving

Adaptability

Education

Bachelor's degree in Computer Science, IT, Business Analytics, Data Science or related field

Tools

Salesforce CRM Analytics

Salesforce Einstein AI

SOQL

SQL

Data Loader

MuleSoft

Talend

Jitterbit

SSIS

Tableau / Power BI

AWS / Azure / GCP

Job description

We are seeking a Salesforce CRM Analytics & AI Specialist to join our team and help transform data into actionable intelligence. In this role, you will leverage Salesforce CRM Analytics (Tableau CRM), Einstein AI, and advanced data modeling techniques to deliver insights that drive smarter business decisions across sales, service, and marketing functions. You will play a hands-on role in building analytics assets, predictive models, and AI-powered insights, while also acting as a strategic partner to business stakeholders by translating data and AI outputs into meaningful recommendations. This role works closely with Salesforce administrators, developers, data engineers, and business teams to ensure analytics solutions are scalable, trusted, and aligned with business goals. Proficiency in Agentforce, Cloud 360, and D360, with the ability to leverage these platforms to optimize customer engagement, data integration, and end-to-end service management.

Salesforce CRM Analytics & AI Development

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

Data Integration, Modeling & Engineering

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

Advanced Analytics, Reporting & Optimization

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

AI Strategy & Business Enablement

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

Data Quality, Governance & Best Practices

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

Enablement, Documentation & Continuous Improvement

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

Qualifications

Education

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

Salesforce & Analytics Experience

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

AI & Advanced Analytics

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

Data Integration & ETL

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

Querying & Data Analysis

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

Cloud & Platform Knowledge

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

Skills & Competencies

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

Tools & Technologies

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

Additional Skills (Optional But Beneficial)

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

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

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