Senior Data Analyst

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. 

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. 

Skills and Competencies

• Knowledge of operational controls, business processes, and/or business analysis with strong analytical and problem-solving skills
• Strong execution skills, and an ability to drive and achieve results, ensuring project timelines and deliverables are met
• Demonstrated ability to work with various data types, both structured and unstructured in nature, as well as proficiency in programming languages such as SQL, R, and/or Python. Experience leveraging R functions and models in Tableau is preferred (through the creation of new calculated fields that dynamically invoke the R engine)
• Knowledge of Tableau or PowerBI, MS Excel (e.g. VBA, macros, VLookups), Word, and PowerPoint required; Jira, SQL, or Access preferred
• Experience extracting and transforming data collected from multiple data sources into workflows for loading/ingesting into BI suite to enable dashboard development and maintenance of existing dashboards. Alteryx knowledge is a plus
• Ability to interact comfortably with different levels of management and articulate/present issues clearly and succinctly
• Self-starter and team player with the ability to meet tight deadlines and manage multiple, competing priorities
• Outstanding interpersonal skills with the ability to reach across the organization to successfully resolve reporting and measurement requests/inquiries/gaps
• Highly organized and efficient, with attention to detail, excellent communication, and project management skills; Able to anticipate users’ needs is a plus
• Knowledge of Moody’s rating systems, analysis tools, and operational processes is a plus

Education

• Bachelor’s degree in Business Analytics, Data Science, Statistics, Economics, Mathematics, Finance, or any other similar, quantitative field required with at least four years of related work experience

Responsibilities

The Senior Data Analyst role is critical to the advancement of the MIS Business Intelligence and Process Measurement strategy. This position will leverage various statistical analyses and machine learning techniques to help senior leaders across the organization make informed, data-driven decisions that support and improve the end-to-end credit rating process. As a key member of the MIS Business Intelligence and Process Measurement team, this individual will:

• Support the development and implementation of predictive and prescriptive analytical models, using Tableau, to discover historical patterns, forecast trends, and identify potential risks in the data that can be used to support the end-to-end credit rating process
• Leverage various statistical analyses and machine learning techniques to help the organization make informed, data-driven decisions. This includes data mining, regression analysis, time-series analysis, optimization techniques, decision trees, etc. Collaborate with stakeholders (at all levels) and team members to provide recommendations and implement best practices
• Maintain data quality standards and execute processes and procedures to ensure data accuracy, reliability, and consistency.
• Perform root cause analysis, remediation, and identify process improvements to strengthen operational controls and enhance business processes
• Assist with improving current testing standards to drive data integrity, ensuring back-end data connections and workflows are efficient and stable while maintaining reliable and accurate front-end dashboard reports
• Develop Subject Matter Expertise on the end-to-end Commercial and Rating Processes, global Regulatory Policies and Procedures as well as supporting operational procedures and guidelines
• Stay up-to-date with the latest technologies, trends, and best practices in business intelligence and data science. Leverage learnings, through collaboration with leadership and teammates, to continually evolve and optimize analytical insights for the end-to-end credit rating process
• Continuously seek out opportunities to streamline and standardize the business process and enhance operational controls and efficiencies
• Participate in cross-functional projects to implement operational and control improvements identified, and to address evolving regulatory and business requirements
• Perform activities related to performing root cause or deep dive analyses, remediation efforts and/or process improvements
• Collaborate with key Moody’s teams (e.g. R&R, RTS, MIS Tech, Compliance, Legal, etc.) to effectively implement process improvements, deliver process capabilities, and remediate issues or inquiries

About the team

The Regulatory Support and Controls (RSC) team in MIS Ratings Operations and Controls is responsible for the implementation, execution, support, and controls of processes and enabling technology that supports the end-to-end credit rating process and regulatory-mandated processes.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.