Genworth is seeking to revolutionize the analytics space in the Long-Term Care (LTC) Insurance industry by enhancing analytics and predictive capabilities on customers and processes, forecasting trends, and providing analytical solutions for business operations.
Requirements
- Subject matter expertise in advanced analytical and computational modeling data capabilities, utilizing Python
- Experience with database Rational Database Management System (RDBMS) technologies (e.g., SQL server, Greenplum, Oracle)
- Experience with big data technologies (e.g., Databricks, Azure, Hadoop, Spark, Hive)
- Experience with data visualization tools (e.g., PowerBI, Spotfire, Tableau, Python)
- Adherence to standard practices and use of version control tools such as GitHub/GitLab
Responsibilities
- Use programming skills to explore, examine and interpret large-scale data in various forms
- Determine the appropriate techniques to manipulate complex high-volume data, develop insights through analysis and modelling, evaluate business problems and improve our analytical speed-to-insight
- Perform data mining and analyzing of structured and unstructured data associated with claims, policy, payment activities to solve complex business problems using advanced techniques and leveraging industry cutting-edge technology
- Build automated dashboards and reports to monitor operational trends to promote a self-service culture for business partners
- Collaborate with data scientists and business analysts to understand project goals, gather business requirements, and develop analytical solutions to support our vision and strategy
- Interact with internal and external peers and managers to exchange complex information related to areas of specialization and expertise
Other
- Bachelor’s degree in a mathematics, data science, statistics, operations research, or other analytical or technical discipline
- A passion for problem solving, intellectual curiosity, and a customer experience mindset
- Results-oriented, self-motivated, and the ability to demonstrate a sense of urgency and accountability for business problems
- Build collaborative and effective relationships with business partners
- Strong verbal/written communication skills to non-technical audiences
