• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Identify different types of data that need tracking to improve business performance
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and clean data by reviewing reports, printouts, and performance indicators to locate and correct code problems
• Generate easy-to-interpret reports based on collected data
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities
• Use statistical methods to identify areas for operational improvement and make suggestions for streamlining processes
• Work with department managers to create data collection guidelines for internal use

Educational Qualification:

• Graduate / Post-graduate degree in Business Management / Statistics / Economics / Technology/Finance

Required Experience:

• 1-3 years of experience working in business intelligence, analytics, data science or related experience
• Attention to detail, and should be open to learn quickly on new technologies in analytics like AWS, Python, DISCO, Tableau and so forth

Required skills and competencies:

• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages like Business objects, SAS, SQL, Tableau, Advanced Excel
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• Overall understanding of US Retirement Industry