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Popular Data Scientist title, mid-level range, metro Gurgaon location, and broad BI/CRM skillset increase competition.
BI and data skills are transferable, but CRM/CX domain knowledge moderately limits cross-industry fit.
Explicit 1–4 year requirement plus mandatory Power BI, SQL, Python, CRM and data-lake skills increases strictness.
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Manage and transform complex large-scale datasets within enterprise Data Lake environments using Amazon Redshift and Athena, ensuring data quality and governance.
Design, develop, and maintain interactive Power BI dashboards and reports focused on customer experience, operational KPIs, and business performance.
Leverage CRM platforms (Salesforce, Medallia) and AI/GenAI tools to extract insights, automate reporting, and enhance customer intelligence to drive business decisions and operational efficiency.
1-4 years experience in Business Intelligence, Data Analytics, or Customer Experience Analytics.
Proficiency in SQL and Python for data querying, transformation, and automation.
Experience with CRM platforms (Salesforce and Medallia) and Data Lake technologies (Amazon Redshift, Amazon Athena).
Strong skills in Power BI and advanced Microsoft Excel for creating dashboards and reports.
Experienced in customer experience analytics with hands-on use of CRM platforms and large-scale data environments.
Capable of independently developing and deploying dashboards and reporting solutions meeting accuracy and usability standards.
Comfortable using LLM-based AI tools (e.g., ChatGPT, Microsoft Copilot) to enhance productivity and analytics workflows.