Swiftwin - DA (Salesforce CRM)

SwiftWin is a dynamic and growing organization focused on delivering data-driven solutions that power personalized customer experiences and marketing excellence. We believe in leveraging analytics and technology to unlock growth for our clients.

We are seeking a highly skilled Data Analyst / Personalization Specialist to join our Data & Analytics team. The ideal candidate will have deep expertise in SQL, Excel, data visualization, and CRM-based personalization. You will work closely with marketing, CRM, and product teams to drive actionable insights, support A/B testing, and enable customer segmentation strategies.

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  Develop and maintain dashboards and reports using Tableau or Power BI to track campaign performance and personalization initiatives.

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  Design, execute, and analyze A/B tests and other experiments to optimize marketing campaigns and customer journeys.

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  Perform customer segmentation and profiling using CRM data to support targeted marketing efforts.

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  Write and optimize complex SQL queries for extracting and manipulating large datasets across multiple sources.

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  Collaborate with CRM teams on data-driven personalization strategies using Salesforce Marketing Cloud (MC) and Salesforce CRM .

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  Monitor and report on key metrics for campaigns, tests, and customer engagement initiatives.

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  Provide actionable recommendations based on data analysis to improve conversion rates, retention, and ROI.

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  Ensure data quality, integrity, and consistency in all analysis and reporting.

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'05; Strong proficiency in SQL (mandatory)
\n '05; Advanced Excel skills (mandatory)
\n '05; Experience with Tableau or Power BI (mandatory)
\n '05; Experience with Salesforce CRM and Salesforce Marketing Cloud (MC)
\n '05; Hands-on expertise in A/B testing , campaign analysis , and test tracking
\n '05; Strong understanding of CRM data models and customer segmentation techniques
\n '05; Familiarity with tools like Google Analytics , MCP
\n '05; Ability to translate data insights into business recommendation