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Job Summary As a Data Analyst you will be responsible for turning data into information, information into insight, and insight into business decisions. You will conduct full lifecycle analysis to include requirements, activities, and design. Data analysts will develop analysis and reporting capabilities and will also monitor performance and quality control plans to identify improvements. Responsibilities Data Transformation: Convert raw data into meaningful information that can guide businessstrategies. Life Cycle Analysis: Manage the entire lifecycle of data analysis, from gathering requirements to activity coordination and design implementation. Develop reports and refine analysis and reporting tools to provide clear insights into business performance. Continuously monitor and assess performance metrics to ensure optimal operation and identify areas for improvement. Implement and oversee quality control measures to maintain the integrity and accuracy of data analysis. Synthesize complex data setsto extract key trends and insightsthat drive decision-making processes. Work closely with cross-functional teams to prioritize data and analytics needs and support data-driven decisions. Proactively seek out and recommend process enhancements to streamline data collection and analysis procedures Constantly monitor, refine and report on the performance of data managementsystems. Maintain a corporate repository of all data analysis artifacts and procedures. Perform other functions as may be assigned. Job Specification Qualification Required Bachelor or Masterâs degree in Computer Science or Engineering Mathematics, Industrial Engineering or Management. Knowledge (Certification - Technical, Product, Industry, etc.) Insurance Financial Services, Insurance/Finance/banking domain experience is a Must Skills critical to job success/Must Have Skills Must be expert in PowerBIreports development. Database management system programming (e.g. Oracle, Microsoft SQL Server) User interface and query software Agile methodologies Predictive modeling, NLP and text analysis Data modeling tools (e.g. ERWin, Enterprise Architect and Visio) Data mining ETL tools UNIX, Linux, Solaris and MS Windows Hadoop and NoSQL databases Data visualization Should have experience in Insurance Domain Should have machine learning experience Years of Relevant Work Experience 7-10 years experience in data analysis, designing, reports development Strong interest in the latestrelevant tools and technologies Strong analytical and problem solving capabilities Excellent communication skills Knowledge of latest analytics developments/trends. Perks Paid Leaves Flexible working hours Skills: database management (oracle, microsoft sql server),nlp and text analysis,linux,design,user interface and query software,data,data analysis,predictive modeling,machine learning,management,agile methodologies,powerbi,data modeling tools (erwin, enterprise architect, visio),solaris,ms windows,hadoop,nosql databases,data mining,analytics,data visualization,etl tools,insurance,unix,reporting,quality control Show more Show less
