Project Manager

Project Manager with Fiserv DNA Troy, MI(Hybrid role) Contract role Must have - Fiserv DNA Responsible for defining scope and implementing business rules of the project, gathering business requirements and documentation
Analyze existing banking processes and workflows to identify areas for improvement and optimization, aiming to enhance operational efficiency, reduce costs, and improve customer service
As part of DNA Merger team responsible for ensuring correctness and completeness of data migration efforts
Lead data migration efforts of Fiserv DNA Application including both transactional Database (OLTP) and analytical database (OLAP)
Worked on Analyzing and comparing 400+ OLTP tables and 50+ LAP tables
Automated Analysis process by building new SQL queries and updating existing queries to match requirement changes
Collaborate with developers and testers to ensure that enhancements meet user expectations and align with business objectives
Define requirements for reporting solutions to provide timely and accurate information to management for strategic planning and decision support
Communicate risk assessment findings and recommendations to project teams, management, and other stakeholders.
Facilitate discussions on risk tolerance and risk appetite within the organization.
Understanding data lineage from source systems and developing cross-walk to standardize master data
Strong working experience in SQL, for specifying and occasionally building functional specs
Querying data using advanced SQL; nested queries, views and iterative functions
Generated periodic reports based on statistical data analysis from various time frames and divisions using Power Pivot, Power Query, and Power View.
Managed defects using JIRA and confluence for documentation
Responsible for preparing test data & test plans, and working with QA team in SIT testing
Supporting UAT & production deployment and tracking the issues Liaising with development team to resolve issues
Analyzing Down stream system requirements and identifying data cleaning, transformation requirements

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