Padmi

Technical Lead - Enterprise Applications Analytics

MumbaiPosted 2 months ago
Computer Systems AnalysisSeniorFull Time; Regular
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Technical Lead-Enterprise Apps Area(s) of responsibility JD - CRMA Key Responsibilities Execute the analytics roadmap aligned with business priorities. Partner with business heads to identify and deliver high-impact analytics and AI use cases. Development of executive dashboards, operational reports, and advanced analytics solutions. Drive analytics across DMS, CRM (Salesforce), ERP, Telematics, and Manufacturing systems. Required Skills & Experience 810 years of experience in analytics, BI, or data-driven roles. Technical & Analytics Skills Strong experience with BI tools such as Power BI, Tableau, or Salesforce Analytics. Advanced SQL skills; working knowledge of Python or R preferred. Experience in predictive analytics, forecasting, anomaly detection, and recommendations. Solid understanding of data modeling, data warehousing, and ETL/ELT processes. Exposure to CRM, ERP, DMS, and large-scale transactional datasets. Business & Domain Skills Good understanding of manufacturing, automotive, or industrial business processes. Experience with sales, service, inventory, warranty, or dealer performance analytics. Ability to translate business problems into measurable analytics outcomes. Experience Level Senior Level Technical Lead-Enterprise Apps Area(s) of responsibility JD - CRMA Key Responsibilities Execute the analytics roadmap aligned with business priorities. Partner with business heads to identify and deliver high-impact analytics and AI use cases. Development of executive dashboards, operational reports, and advanced analytics solutions. Drive analytics across DMS, CRM (Salesforce), ERP, Telematics, and Manufacturing systems. Required Skills & Experience 810 years of experience in analytics, BI, or data-driven roles. Technical & Analytics Skills Strong experience with BI tools such as Power BI, Tableau, or Salesforce Analytics. Advanced SQL skills; working knowledge of Python or R preferred. Experience in predictive analytics, forecasting, anomaly detection, and recommendations. Solid understanding of data modeling, data warehousing, and ETL/ELT processes. Exposure to CRM, ERP, DMS, and large-scale transactional datasets. Business & Domain Skills Good understanding of manufacturing, automotive, or industrial business processes. Experience with sales, service, inventory, warranty, or dealer performance analytics. Ability to translate business problems into measurable analytics outcomes. Experience Level Senior Level

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