Senior Data Analyst

Summary

Join Remotestate as a Data Analyst and transform data into actionable business insights. You will conduct full lifecycle analysis, develop reports and analysis tools, and monitor performance. Responsibilities include data transformation, lifecycle analysis, report development, performance monitoring, quality control, and synthesizing complex datasets. You will collaborate with cross-functional teams and proactively recommend process enhancements. The role requires expertise in PowerBI, database management, and various data analysis tools. Remotestate offers paid leaves and flexible working hours.

Requirements

• Bachelor or Master’s degree in Computer Science or Engineering Mathematics, Industrial Engineering or Management
• Must be expert in PowerBI reports 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

Responsibilities

• Data Transformation: Convert raw data into meaningful information that can guide business strategies
• 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 sets to extract key trends and insights that 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 management systems
• Maintain a corporate repository of all data analysis artifacts and procedures
• Perform other functions as may be assigned

Benefits

• Paid Leaves
• Flexible working hours