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Job Location: Bangalore/Bengaluru
- Supporting Business Lead to Opportunity (L2O) & Route to Market (R2M) functions & processes through Salesforce Administration.
- Interact with the Business System Analyst (BSA) team to work & deliver Business requirements that involve Configuration & Administration in SFDC.
- Handle case incidents & perform End-user troubleshooting to improve user experience in SFDC.
- Configure Sales Cloud in Salesforce.com.
- Perform RCA analysis, identify gaps in Business/System Process & suggest improvement measures.
- Build custom reports, dashboards.
- Installation of packages.
- Sandbox Refresh & Post Refresh tasks.
- Contribute to the team on Cases & Operational Change Requests (CR) Prioritization.
- Act as an SME & train new team members.
Qualifications
- 7+ years of experience in enterprise automation, with the most recent 5 years in Salesforce Administration.
- Hands on experience configuring Sales Cloud in Salesforce.
- Hands on experience in Copado deployment & user story promotions.
- Manage Salesforce security including roles, profiles, sharing rules, workflows and groups, validation rules.
- Managing user setup, profiles and roles, basic customization of objects, fields, record types, page layouts and validation rules, process builders and flows.
- Installing manage packages.
- Develop and create customized reports and dashboards.
- Perform UAT testing process for new functionality created by the SFDC Dev team
- Keeping abreast of new Salesforce features and functionality and providing recommendations for process improvements.
- Creating and maintaining documentation on processes, policies, and help related materials for users
- Should have experience in Master and Transactional Data management.
- Good research skills on the AppExchange.
- Good to have (not mandatory) Salesforce Development knowledge.
- Should be able to work independently with minimal supervision.
- Preferably an Expert in Excel & analyzing large volumes of data and identifying patterns.
- Comfortable with loading and querying large data sets using Data Loader and/or Workbench.
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