Servicing Transfers Data Mapping Analyst

The Servicing Transfers Data Mapping Analyst at Valon is responsible for creating custom integrations that convert third-party data formats into Valon’s proprietary data dictionary. This includes collaborating with Servicing Transfers personnel for written mapping instructions, using SQL and Access tools for code creation, and ensuring data accuracy through thorough testing and validation processes.

To be considered for the Servicing Transfers Data Mapping Analyst role at Valon, candidates typically need a Bachelor’s degree, alongside 3-4 years of experience in data mapping and conversion, preferably in the mortgage or financial technology sector. Proficiency in SQL, excellent communication skills, and a solid understanding of mortgage servicing concepts are also vital.

At Valon, Servicing Transfers Data Mapping Analysts utilize tools such as SQL, Microsoft Access, and occasionally Python for data manipulation and conversion tasks. Familiarity with large-scale servicing systems such as Black Knight and Sagent is also beneficial for the role.

The Servicing Transfers team at Valon is instrumental in ensuring effective onboarding and off-boarding of loans, which supports the company’s mission to empower homeowners. By focusing on efficient data transfers, they help to provide a smooth mortgage servicing experience for both homeowners and lenders.

Valon offers a variety of career development opportunities including company-wide orientation, ongoing learning and development programs, and regular review cycles featuring 360-degree feedback. They actively foster a supportive environment for growth and encourage professionals to pursue their career aspirations.

When discussing your experience with data mapping, it's important to highlight specific projects where you successfully translated data formats into a usable structure. Detail your familiarity with mortgage servicing concepts and the tools you utilized, such as SQL and Access, and how they contributed to the success of your projects.

To ensure data accuracy in the mapping process, I follow a systematic approach that includes thorough documentation, rigorous testing of mapping codes, and validation queries to check for discrepancies. Collaborating with team members to iteratively refine the mappings also helps ensure alignment and accuracy.

Handling tight deadlines requires strong organizational skills and effective prioritization. I utilize project management tools and techniques to break down tasks, allowing me to focus on deliverables without sacrificing quality. Communication with team members is also crucial to align priorities and manage expectations.

In data mapping and conversion, I frequently use SQL queries such as SELECT statements for extracting data, JOIN clauses for merging tables, and CASE statements for conditional transformations. I find that these queries enhanced the efficiency of converting various datasets into organized formats.

One challenge I encountered was discrepancies between the data formats provided by third-party servicers. To overcome this, I established a clear communication channel with the partners to clarify data requirements and implemented additional checks to ensure our mappings accommodated all variations.

My testing protocol for new mapping codes involves creating a comprehensive test plan that includes sample data sets, expected outcomes, and validation queries. After deploying the mapping code, I analyze the results and iterate based on feedback until the mappings produce the correct output consistently.

Teamwork is fundamental in the Servicing Transfers process. Collaboration fosters creativity, helps identify potential issues early, and ensures that everyone is aligned toward common goals. I value the input from subject matter experts and believe that diverse perspectives enhance our mapping strategies.

To stay informed about industry standards in data mapping, I subscribe to relevant publications, attend webinars, and participate in industry conferences. Engaging with networks of professionals also allows me to share insights and learn about best practices in the field.

For successful data integration, I recommend establishing clear documentation, maintaining open communication with stakeholders, and using validation processes to ensure compatibility between systems. Regularly reviewing and updating mapping protocols based on user feedback is also essential for ongoing success.

I am drawn to the opportunity at Valon because of its mission to empower homeowners and innovate the mortgage servicing experience. I appreciate the emphasis on collaboration and technological advancement, and I believe my skills in data mapping and passion for enhancing user experiences align perfectly with Valon’s vision.