Job
Description
Location(s): Tower -11, (IT/ITES) SEZ of M/s Gurugram Infospace Ltd, Vill. Dundahera, Sector-21, Gurugram, Haryana, Gurugram, Haryana, 122016, IN Line Of Business: Finance(FIN) Job Category: ESG Analytics, Data & Research Experience Level: Experienced Hire 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 Experience with industry standard data transformation, Low code automation, Business Intelligence solutions and operational responsibilities using tools such as Power BI, Alteryx, Automation Anywhere. Experience with Python, Data Fabric, and working knowledge of Hyperion/OneStream (EPM) is a plus. Proficient in SQL and working with structured data and Unstructured data. Strong knowledge of data structures, algorithms & software development best practices. Familiarity with version control systems (e.g., Git) and agile methodologies. Knowledge of cloud platforms like AWS, Azure, or Google Cloud is a plus. Effective communication skills to explain technical concepts to non-technical stakeholders. Strong problem-solving skills and the ability to work independently or as part of a team. Education Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. Responsibilities Support operational processes within the Data and Analytics team. Contribute in the creation of process documentation (SOPs) and help establish guidelines to standardize and streamline operations. Provide support for Automation/Data/BI servers to ensure system performance & reliability. Monitor and support automation, BI, and data processes to ensure seamless operations and address issues promptly. Assist in managing security and access controls to protect data and maintain data integrity. Track automation, Gen AI, data, and BI use cases across the team. Support Gen AI application environments, security, and post-production operations. Assist in BI incident management and route issues efficiently and route to the correct area. Monitor and report on metrics to track performance and identify areas for improvement. Maintain thorough documentation and communication to ensure transparency. Monitor and report on metrics to ensure operational efficiency. About The Team The Automation Operations & Innovation Team is a dynamic group within the Data and Analytics department focused on driving operational efficiency and digital transformation through automation, GenAI, business intelligence, and data management. The team brings together developers, analysts, and process managers to design and implement scalable solutions using tools like Alteryx, Power BI, Automation Anywhere, and Python. With a strong emphasis on collaboration, innovation, 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.
