Client Data Contribution Analyst - RP

At Early Warning, we’ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle®, Paze℠, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.

Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.

Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.

Overall Purpose:

This position is responsible for initiating and leading routine client data contribution, quality and remediation projects that support core business functions and are low to moderate complexity for all datasets used by Early Warning products and services.   This position will also perform monitoring, research and analysis client level data to ensure the quality necessary to optimize performance of Early Warning products and services.   

Essential Functions:

• Initiate projects with customers to engage necessary resources, define scope of work, task lists, and project milestone dates and timeline; manage and document multiple client data projects, cases and issues simultaneously using the Early Warning CRM tool. 
• Manages projects from beginning to end playing a key role managing discovery, definition of scope, technical requirements and specifications review, code development (client/internal), testing, production implementation. Works with customers for production validation and certification activities; schedules and coordinates implementations to production.  Resolves issues promptly and effectively.
• Meets with customers regularly to provide and obtain client status updates; reports on health and status of project to both customers and internal EWS stakeholders and escalates both internally and externally as appropriate. Ensures timely execution of projects to ensure progress against tasks and milestones according to plan and that project schedule is on track. 
• Works with client to transition from project to business-as-usual operations to ensure quality standards are maintained and sustainable. 
• Collaborates closely with customers, vendors, business analysts, project managers and development project teams to fully assess data feeds and expectations.
• Provides consultation and guidance on projects to ensure quality of client dataset contributions. 
• Assesses impacts of data contribution or quality issues that will provide insights to the urgency and steps for remediation in collaboration with customers and stakeholders.  Ensures adherence to technical requirements and operating rules as it relates to contribution and ongoing quality of contributed data.  Escalates non-responsive, non-performance and/or non-compliance issues as appropriate.
• Coordinates and test new data transmissions, data mapping, sample and test files and code changes/development related to a client data contribution in collaboration clients and EWS internal resources.  Troubleshoots issues (testing and/or production) with client or Early Warning IT partners and make any necessary code or configuration changes required to ensure contribution files meet quality standards. 
• Performs acceptance testing, validation and certification and quality assurance for customer data contribution projects.
• Initiates audits on client's data, analyzes results and takes action by collaborating with client and facilitates solutions for production or testing issues.
• Research root causes of problems with contributed data and leads effort to remediate the issue with the contributor.
• Conduct assessments of data quality and integrity requiring research and analysis and working with clients to understand contribution practices and making recommendations for remediation
• Provides input to ensure efficiencies with automated methods or tools for customer support, research and analytics. 
• Assists with the development and improvements of internal processes and procedures related to customer data contribution and dimensions of data quality (timeliness, accuracy, completeness, etc).
• Complies with all security policies and procedures, to ensure that the highest level of system and data confidentiality, integrity and availability is maintained.
• Ensures department maintains compliance with internal policies and procedures.
• Supports the company’s commitment to protect the integrity and confidentiality of systems and data.
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