Chicago, IL
42 days ago
Business Intelligence Analyst

Combined Insurance, a Chubb Company, is seeking a Business Intelligence Analyst to join our fast-paced, high energy, growing company. We are proud of our tradition of success in the insurance industry of over 100 years. Come join our team of hard-working, talented professionals!

Job Summary 

This position will be responsible for the creating and running data processes and reports for the Business Intelligence team. He/she will work closely with the BI, Actuarial, and Finance teams to deliver on the design/development, programming, maintenance, and publication of operational reports that play a key role in driving business decisions.  

 Responsibilities 

Create unique reports through SQL and Power BI to fulfill various ad hoc requests from internal stakeholders including Sales, Operations, Marketing, Underwriting, Legal, Actuarial, Training, and IT Create and maintain online automated reports using Power BI; update and maintain Excel and SQL sources and databases to ensure data quality Create, adjust, and tune SQL processes pertaining to Finance, Sales, Actuarial, and Operations data Maintain large sets of data that require validation, cleansing, and troubleshooting Debug technical issues when they arise Analyze and integrate data from multiple sources Create data visualizations and transform data into innovative dashboard designs Develop skills and leverage Business Intelligence tools such as power BI to drive efficiency and deliver high quality information solutions

Skills and Experience 

Three to five years business experience, knowledge of insurance industry a plus Excellent technical skills including advanced knowledge of SQL programming language Business Intelligence and/or dashboard/reporting experience Python knowledge a plus Experience working with large databases Strong analytical, problem-solving and multi-tasking skills Strong attention to detail Ability to work independently to complete assignments in a timely manner

Education

BA required, preferably in IT, Computer Science, Data Analytics, Business Intelligence, or Finance

 

 

 

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