Salesforce Business Analyst

5 days ago

Chennai, Tamil Nadu, India PIERIAN Full time ₹ 6,00,000 - ₹ 12,00,000 per year

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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