{"id":7740,"date":"2025-10-02T14:53:35","date_gmt":"2025-10-02T18:53:35","guid":{"rendered":"https:\/\/www.clarku.edu\/events\/?post_type=tribe_events&p=7740"},"modified":"2025-10-02T14:54:39","modified_gmt":"2025-10-02T18:54:39","slug":"school-of-business-analytics-and-data-warehousing-career-session","status":"publish","type":"tribe_events","link":"https:\/\/www.clarku.edu\/events\/event\/school-of-business-analytics-and-data-warehousing-career-session\/","title":{"rendered":"School of Business: Analytics and Data Warehousing Career Session"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

CUSB alumnus Sam Balian, MBA, is Director of Process Optimization and Business Intelligence at Verisk. He joins us to provide insight into data analytics, continuous improvement, relational database management, and automation scripting.<\/p>\n\n\n\n

Sam is the current Continuous Improvement Lead at Verisk’s Casualty Solutions business unit, leading a team focused on streamlining business processes and implementing automated solutions across the organization.<\/p>\n\n\n\n

Sam also oversees the company’s Data Warehouse project and is passionate about improving operational efficiency through process automation and harnessing the power of data to drive business results.<\/p>\n\n\n\n

For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk. From AI-powered risk modeling to advanced analytics and technology solutions spanning the entire policy lifecycle. This is a terrific opportunity for students to learn more about data and analytics within the industry.<\/p>\n\n\n\n

Sam is joining us virtually. Get the Zoom link here<\/a>! <\/strong><\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Sam Balian, MBA, joins us to provide insight into data analytics, continuous improvement, relational database management, and automation scripting.<\/p>\n","protected":false},"author":37,"featured_media":7741,"template":"","meta":{"_EventAllDay":false,"_EventTimezone":"America\/New_York","_EventStartDate":"2025-11-04 18:10:00","_EventEndDate":"2025-11-04 19:00:00","_EventStartDateUTC":"2025-11-04 23:10:00","_EventEndDateUTC":"2025-11-05 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