Navy Federal Credit Union - Vienna, VA
posted 3 months ago
As a key member of the Guardian Risk Hub team, you will partner with business stakeholders, technology teams, and other analysts to understand the critical data needs of the organization and its integrations with various platforms. This includes working with systems such as the Operational Data Hub, S3, LexisNexis, Alloy Data, mainframe systems, Splunk, EWS, Senilink, Ensenta, Encore, Federal Reserve, MuleSoft API, ACE Workflow, and FIS Mobile Check Data. Your role will involve capturing and refining data requirements, performing complex data analysis, and contributing to the design and optimization of data pipelines and integrations. You will be instrumental in driving data-driven insights and ensuring data accuracy and integrity across the Guardian ecosystem, supporting both departmental and organizational objectives. In this position, you will work independently on complex business challenges that have a significant impact on the company's data strategy. You will collaborate with technology teams and business end-users to define data and analysis needs, develop technical requirements, including data definitions, business rules, and data quality standards, and ensure the successful integration of the Guardian Risk Hub with various data sources. Your responsibilities will also include leading cross-functional data collection efforts, developing and implementing strategies to gather, clean, and preprocess data from diverse sources, ensuring accuracy, consistency, and completeness across the Guardian Risk Hub and its connected platforms. You will conduct data validation, integrity research, and user acceptance testing (UAT) to ensure that data from all integrated systems meets the stringent quality standards required for risk analysis and fraud detection. Additionally, you will perform in-depth data analysis to support complex business intelligence and data science projects, focusing on predicting, improving, and measuring the success of key business-to-business outcomes related to risk and fraud management. Your expertise will be crucial in resolving complex data quality issues using advanced data profiling, cleansing, and monitoring techniques to maintain data integrity and reliability across multiple integrated systems, including both traditional and cloud-based platforms.