Role : Salesforce Business Analyst CPQ Sales Cloud
Experience 7years
Key Responsibilities:
- Collaborate with business stakeholders to gather analyze and document requirements related to Salesforce CPQ and Sales Cloud.
- Understand and explain Salesforce data model concepts including Account Contact Opportunity Quote QuoteLine Order OrderItem Subscription and Contract.
- Provide guidance on mapping legacy data to Salesforce CPQ models including complex relationships like product bundles.
- Recommend approaches for data cleansing validation and deduplication (optional).
- Suggest strategies for handling legacy data that is unstructured or spread across multiple applications (optional).
- Define strategies for retaining historical pricing quote data and contract renewals.
- Support User Acceptance Testing (UAT) by creating test scenarios validating outcomes and ensuring business requirements are met.
- Assist in validating complex fields such as Quote totals discounts and product configurations.
- Report and track data discrepancies issues or errors during system implementations or migrations (optional).
- Serve as a liaison between business teams and technical teams translating business requirements into actionable solutions.
Required Skills and Experience:
- Strong understanding of Salesforce CPQ and Sales Cloud objects and relationships.
- Excellent analytical documentation and communication skills.
- Experience in requirement gathering process analysis and UAT coordination.
- Ability to work collaboratively with cross-functional teams and translate business needs into technical requirements.
Optional:
- Experience in Salesforce data migration projects including Quote Quote Line Order and Order Item objects.
- Knowledge of MDM data cleansing deduplication and ETL tools (Safe FME preferred).
- Familiarity with Python scripting SQL Snowflake and API testing (SOAP/REST).
- Exposure data mapping validation and historical data retention strategies.
Role : Salesforce Business Analyst CPQ Sales Cloud Experience 7years Key Responsibilities: Collaborate with business stakeholders to gather analyze and document requirements related to Salesforce CPQ and Sales Cloud. Understand and explain Salesforce data model concepts including Account Conta...
Role : Salesforce Business Analyst CPQ Sales Cloud
Experience 7years
Key Responsibilities:
- Collaborate with business stakeholders to gather analyze and document requirements related to Salesforce CPQ and Sales Cloud.
- Understand and explain Salesforce data model concepts including Account Contact Opportunity Quote QuoteLine Order OrderItem Subscription and Contract.
- Provide guidance on mapping legacy data to Salesforce CPQ models including complex relationships like product bundles.
- Recommend approaches for data cleansing validation and deduplication (optional).
- Suggest strategies for handling legacy data that is unstructured or spread across multiple applications (optional).
- Define strategies for retaining historical pricing quote data and contract renewals.
- Support User Acceptance Testing (UAT) by creating test scenarios validating outcomes and ensuring business requirements are met.
- Assist in validating complex fields such as Quote totals discounts and product configurations.
- Report and track data discrepancies issues or errors during system implementations or migrations (optional).
- Serve as a liaison between business teams and technical teams translating business requirements into actionable solutions.
Required Skills and Experience:
- Strong understanding of Salesforce CPQ and Sales Cloud objects and relationships.
- Excellent analytical documentation and communication skills.
- Experience in requirement gathering process analysis and UAT coordination.
- Ability to work collaboratively with cross-functional teams and translate business needs into technical requirements.
Optional:
- Experience in Salesforce data migration projects including Quote Quote Line Order and Order Item objects.
- Knowledge of MDM data cleansing deduplication and ETL tools (Safe FME preferred).
- Familiarity with Python scripting SQL Snowflake and API testing (SOAP/REST).
- Exposure data mapping validation and historical data retention strategies.
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