We are looking for an experienced and analytical Salesforce CRMA (CRM Analytics / Einstein Analytics) Support Engineer with 5 to 6 years of hands-on technical experience for our client company. In this role, you will act as the escalation point for troubleshooting, maintaining, and optimizing complex CRM Analytics solutions. You will work closely with business stakeholders and technical teams to ensure high system availability, data accuracy, and seamless dashboard performance.

Key Responsibilities

- Production &
- Operational Support:

Provide robust Tier-2/Tier-3 support for Salesforce CRM Analytics (CRMA), resolving user queries, data sync errors, and dashboard performance bottlenecks promptly.

- Dataflow &

- Recipe Troubleshooting:

Monitor, debug, and optimize complex CRMA dataflows, data recipes, and scheduled jobs to ensure seamless data pipelines.

- SAQL Optimization: Write, review, and optimize Salesforce Analytics Query Language (SAQL) queries and SQL scripts to improve execution times and handle large data volumes.

- Dashboard &

- Dataset Maintenance:

Modify and maintain existing lenses, datasets, dashboards, and security settings (sharing rules, row-level security) according to evolving business requirements.

- Incident &

- Bug Management:

Manage support tickets, perform root cause analysis (RCA) for recurring issues, and implement preventive measures.

- Collaboration: Work alongside Salesforce Administrators, Data Engineers, and business units to understand reporting gaps and deliver quick, scalable fixes.

- Documentation: Maintain transparent troubleshooting guides, system architectures, data dictionaries,



and support documentation for internal reference.

Required Qualifications &

- Skills

- Experience: 5 to 6 years dedicated specifically to Salesforce CRM Analytics (formerly Einstein Analytics / Tableau CRM).

- Technical Expertise:

- Strong mastery over CRMA components: Datasets, Dataflows, Recipes, Lenses, and Dashboards.

- Deep proficiency in SAQL (Salesforce Analytics Query Language) and JSON customization.

- Solid understanding of Salesforce data models, object relationships, sharing rules, and security controls.

- Support Background: Proven track record in an application support, maintenance, or managed services environment handling incident management and bug fixing.

- General Salesforce Knowledge: Working knowledge of Sales Cloud or Service Cloud objects, standard reporting, and data loaders.

- Soft Skills: Excellent analytical, problem-solving, and communication skills to explain technical fixes to non-technical business users.

Preferred Qualifications

- Active Salesforce Certifications (e.g., Salesforce CRM Analytics &
- Discovery Consultant

and/or Platform Developer I).

- Experience with external data integration, ETL tools, or basic Python/SQL.

What We Offer

- Competitive salary and benefits package.

- Opportunities for professional growth and continuous learning.

- Collaborative and energetic work environment.

Pay: ₹374,783.53 - ₹1,608,532.90 per year

Application Question(s)

- How many years of experience do you have with Salesforce CRM Analytics / CRMA?

- Are you comfortable with a support-focused role?

Work Location: In person

📌 Salesforce CRMA Support Engineer (Chennai)
🏢 Clouddata Technologies
📍 Chennai