A Business Analyst plays a crucial role in analyzing business processes, identifying areas for improvement and implementing solutions that drive business success. This role involves working closely with stakeholders to understand the requirements, identify goals, create documentation, and focus on solving the complex business issues from strategy to execution. In addition to creating and managing our master data set, the individual should possess a thorough understanding of the most widely used data and business analysis strategies and tools.
Data & Document Automation (DDA) is an automation solution that automates key business processes for lenders, investors, and servicers. Data and Document Services (DDS) provides critical value-added services to Lenders, Investors and Servicers.
Responsibilities
Efficiently conduct analysis and prioritize tasks to meet deadlines by concentrating on the daily execution of the business issues from strategy to implementation.
Collaborate with the stakeholders to understand the requirements and provide data driven solutions. Work with cross functional teams to execute data ingestion, validation & normalization.
Interpret, evaluate, and analyze facts and information required for providing logical solutions.
Well versed with Agile Methodology and Adoptable to changing business needs.
Create and maintain documents and reports to share requirements and metrics. Maintain and update documentation throughout the project lifecycle.
Conduct tests to ensure requirements are met as per the expectation.
Good understanding of PII data and protect data to which they have access.
Knowledge and Experience
Bachelor s Degree and equivalent industry experience in Information System /Business Analytics or Data Analysis.
Strong verbal and written communication. Should be able to collaborate with multiple teams in different geographies at different levels in the organization.
Experience in managing accuracy and integrity of data in all the analysis, reports and deliverables.
Proven experience in identifying issues and developing solutions that enhance data analysis processes and outcomes.
Experience working independently and collaboratively in a fast-paced, dynamic environment.
Expertise in data analysis tools and techniques, including Python, XML, Json, and MS office.
Sound knowledge of US Mortgage industry, mortgage documents and processes will be added advantage.
2+ year of work experience as an Analyst or equivalent.