SENIOR SALESFORCE SOLUTION ANALYST

ROLE: SENIOR SALESFORCE SOLUTION ANALYST

CLIENT: PAYMENTS SYSTEMS

Location: New York City, NY

 INTERVIEW: WEBCAM. & F2F

 THIS IS ONSITE HYBRID FULL-TIME HIRE BY THE CLIENT CITIZEN

This role combines strong business analysis, technical Salesforce knowledge, and quality assurance

 OVERALL EXPERIENCE 12

Job Description

About the Role 

We are seeking a Senior Salesforce Solutions Analyst to own business requirements from initial discovery through solution design, implementation and validation. 

. The ideal candidate can work directly with stakeholders to understand business problems, translate ambiguous requests into well-defined requirements and solutions, and ensure those solutions perform correctly across real-world scenarios. 

This is a hands-on technical role, but not primarily a software development position. Success requires strong analytical skills, sound technical judgment, and a rigorous approach to quality. 

Responsibilities 

Discover & Define 

• Partner directly with business stakeholders to understand processes, challenges, and objectives. 

• Translate ambiguous or incomplete requests into clear requirements, acceptance criteria, and actionable work items. 

• Identify assumptions, exceptions, dependencies, and downstream impacts. 

• Challenge proposed solutions when appropriate to ensure requirements address the underlying business need. 

• Develop strong domain knowledge and evaluate requests within the context of broader business processes and systems. 

Design & Analyze 

• Design scalable, maintainable Salesforce solutions that appropriately balance configuration and custom development. 

• Understand and contribute to decisions regarding data models, objects and fields, validation rules, Flow, Apex, Lightning Web Components, integrations, and automation. 

• Determine the appropriate scope and execution context for business logic, including platform-level versus user-interface-specific behavior. 

• Consider security, sharing, data integrity, governor limits, maintainability, user experience, and downstream system impacts. 

• Favor simple, sustainable solutions over unnecessary technical complexity. 

• Partner with engineers on more complex implementations while maintaining ownership of the work through completion. 

Test & Validate 

• Define and execute comprehensive test scenarios based on business requirements and solution design. 

• Identify edge cases, failure conditions, unusual data states, permission differences, and integration scenarios. 

• Perform hands-on functional testing of Salesforce changes. 

• Validate that solutions address the underlying business requirement rather than simply satisfying the stated request. 

• Investigate unexpected behavior and distinguish between requirements, configuration, data, and implementation issues. 

Leverage AI & Modern Tools 

• Use AI-assisted development tools to translate requirements into working solutions, including configuration, automation, data changes, and other technical implementations, while also accelerating analysis, solution design, and testing. 

• Critically evaluate AI-generated output for accuracy and suitability rather than treating generated solutions as inherently correct. 

• Continuously identify opportunities to improve the speed and quality of the delivery process through automation and AI. 

Qualifications 

• Strong requirements-gathering, analytical, and problem-solving skills. 

• Demonstrated ability to work directly with stakeholders and independently drive ambiguous requests toward well-defined solutions. 

• Strong understanding of Salesforce data models, objects, relationships, security, automation, and platform capabilities. 

• Ability to write and interpret SOQL queries for data analysis and troubleshooting. 

• Working knowledge of Validation Rules, Flow, Apex, Lightning Web Components, APIs, and integrations, including an understanding of when each may be appropriate. 

• Strong testing discipline and ability to anticipate edge cases and unintended consequences. 

• Ability to communicate effectively with both technical and non-technical audiences. 

• Experience with AI-assisted tools and a willingness to incorporate them into day-to-day work.