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Job Description: Senior Data Analyst Job Location: Remote Experience Required:5-6 years Working Days: Monday to Friday 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 activitycoordination and design implementation. Develop reports and refine analysis and reporting tools to provide clear insights into businessperformance. Continuously monitor and assess performance metrics to ensure optimal operation and identify areasor improvement. Implement and oversee quality control measures to maintain the integrity and accuracy of dataanalysis. 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-drivendecisions. Proactively seek out and recommend process enhancements to streamline data collection and analysisprocedures 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 Master’s 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 PowerBIreportsdevelopment. 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: data analysis,powerbi,unix, linux, solaris, ms windows,user interface and query software,predictive modeling,process enhancement,nosql databases,hadoop,data synthesis,database management (oracle, microsoft sql server),data modeling tools (erwin, enterprise architect, visio),quality control,reporting,insurance,agile methodologies,data transformation,data visualization,performance monitoring,nlp and text analysis,modeling,data,data mining,data management,machine learning,etl tools,cross-functional collaboration,report development,life cycle analysis
