About the job Data Analyst Work from Home - Remote Allied Global Marketing has an immediate need for a Data Analyst to join our financial services team in one of our selected Allied Global Marketing locations. Due to the current COVID-19 status, candidates will not be required to work within the physical work location at this time. When COVID-19 restrictions are lifted, they will be required to be located within the proximity of the assigned Allied Global Marketing location. Requirements Your future duties and responsibilities: Analyze, document and articulate business requirements for complex mathematical, business, and financial modeling logic for software coding. Design and execute test cases for modeling and analytical software applications to ensure they meet business needs and model requirements. Develop detailed specifications of application and document in a form that it can be used for coding application. This includes architecture diagrams, process flows, and other information or processes needed to describe required system changes for development, QA, and other internal customers. Collaborate with managers or practitioners in the business unit to determine systems requirements and functionalities needed in new or revised application. Extract data requirements through various methods including individual and group discussions, independent data analysis and by extracting from a suite of mathematical functions and code. Confer with business units and technical staff to understand data usage, lineage and attributes. Perform or review coding done to render specifications into application functionalities, screens, or outputs. Develop test plan and/or test application in development status or debug application in production mode. Document or review documentation of steps in specification development, coding, testing and user acceptance for future reference and for internal control purposes. May provide support to applications in production by tracking production problems and troubleshooting them to sustain application in production. Participate in project meetings to plan rewrite of addition to application in production or being revised for release into production. May mentor or provide technical guidance to less experienced staff. Lead cross functions to ensure application enhancements quality meets expected business results. May lead test strategy and facilitate customer and end user testing through test & learn development iterations and closing the loop on customer feedback. Manage end to end business process impacts for cross functional/complex solutions Promote productive relationships between stakeholders and technology partners, providing clarity & ensuring processes are streamlined. Required qualifications to be successful in this role: 8-10 years of related experience Secondary mortgage, finance or economics knowledge or experience. Multifamily data and business experience highly desired. Technical skills: Oracle, stored procedures & advanced querying. Advanced Oracle / SQL skills, Ability to design Python scripts for data analysis. Ability to perform existing code analysis in Java and Python. Familiarity with Linux/Unix. Strong Data analyst needed to proceed data analysis, consolidate date sets, extract data, have data modeling skills. Ability to document highly complex data processing Experience working with software developers in a medium to large organization following SDLC or Agile processes Must have experience supporting customer application development lifecycles (e.g., analysis, design, testing) Experience providing input to specialists in development projects to assist in developing specifications and functionalities in IT systems. Strong verbal and written communication skills Ability to communicate abstract concepts and analysis results using creative visualizations. Comfortable presenting and relaying information to anyone including upper management. Excellent interpersonal skills and team player mentality Excellent analytic and problem-solving skills Ability to develop proficiency in new skills rapidly
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