Associate Bus Systems 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. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. 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 3 - 5 years of experience with industry-standard data transformation, business intelligence, and data engineering solutions, with operational responsibilities using tools such as Power BI and Microsoft Fabric. High proficiency and hands-on expertise in Power BI is essential. Knowledge of Python and PySpark is good to have and preferred. Proficient in SQL, with experience handling both structured and unstructured data. Familiarity with low-code technologies such as Alteryx, Power Automate, and Power Apps is preferred. Strong understanding of data structures, algorithms, and software development best practices. Knowledge with Jira for incident management, process tracking, and agile project coordination is good to have. Knowledge of version control systems (e.g., Git) and agile methodologies. Exposure to cloud platforms such as AWS, Azure, or Google Cloud is an advantage. Excellent communication skills for articulating technical concepts to non-technical stakeholders. Strong analytical and problem-solving abilities with the capacity to work independently and collaboratively. Familiarity with enterprise performance management tools such as Hyperion or OneStream is a plus. Education Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Responsibilities Support operational processes within the Data and Analytics team to ensure smooth day-to-day functioning. Contribute to the creation of process documentation (SOPs) and help define standardized operational guidelines. Provide support for business intelligence and data engineering solutions, ensuring seamless operations and timely resolution of issues and enhancement requests. Maintain and monitor automation, data, and BI environments to ensure optimal system performance and reliability. Assist in managing security controls and access management to safeguard data integrity. Manage and track team activities in Jira, including incident logging, task assignment, sprint planning, and tracking issue resolutions. Track and document automation, Agentic AI, Gen AI, data, and BI use cases across the team. Support Agentic AI and Gen AI application environments, including managing post-production and security operations. Monitor and report operational metrics to assess performance, identify areas for improvement, and enable continuous enhancement. Maintain thorough documentation and transparent communication to promote clarity and accountability. About the team The Automation Operations & Innovation Team is a dynamic group within the Data and Analytics department dedicated to driving operational efficiency and digital transformation through automation, generative AI, business intelligence, and data management. The team unites developers, analysts, and process managers to design and implement scalable, data-driven solutions using tools like Alteryx, Power BI, Power Automate, and Python. With a culture rooted in innovation, collaboration, and continuous improvement, the team supports strategic initiatives across the organization by streamlining workflows, enhancing data quality, and integrating emerging technologies. 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.