Senior Data Operations Analyst
hace 1 semana
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.
The Senior Data Operations will be focused on optimizing our North American Data Operations. You will be responsible for overseeing the end-to-end data operations process, ensuring the availability, integrity, and accuracy of data on our flagship product Orbis. This role will assist in creating a new process for our data pipeline, remediating observations in our data leveraging automation and rules engines as well as interrogating the data using data analytics skills.
Key Responsibilities Include:
Data Quality Management: Establish processes and methodologies to monitor, measure, and improve data quality across different data sources, ensuring data accuracy, consistency, and completeness.
Data Operations Optimization: Continuously evaluate and enhance data operations processes, identifying opportunities to automate, streamline, and improve efficiency and effectiveness.
Data Integration and ETL: Oversee the design and implementation of data integration and ETL (Extract, Transform, Load) processes to enable seamless data flow across systems, applications, and databases.
Key Partnerships and Cross-Functional Collaboration: Partnership with key teams and cross-functional teams in order to reach our business objectives. This includes partnering with Sales, Content and Product Strategy to develop knowledge on our customer’s use cases, understand business requirements and priorities to reach our business objectives. This role will also be working heavily with Technology, to design and optimize data architecture, data model, and data pipeline.
Qualifications:
Preferred Bachelor’s degree in Information Systems, Computer Science, Data Management, Economics, Finance, or related major. 5+ years working experience with proven experience in data operations, data management, data analytics, automation or a related role Advanced SQL Oracle experience Good working knowledge of Python Good working knowledge of automation capabilities (Selenium or others) Understanding of data architectures, data modeling, ETL processes, and data integration technologies. English B2+ or Better Experience working with extremely large data sets Exceptional communication and interpersonal skills, capable of collaborating with diverse stakeholders and presenting complex ideas in a clear and concise manner to support organizational decision-making Excellent problem-solving and critical-thinking skills to recognize and comprehend complex issues, processes, and requirements regarding managing large data sets Demonstrated ability to drive process improvements and operational efficiency through the application of technology and automation. Experience working in a fast-paced, dynamic environment, with the ability to prioritize and manage multiple projects at once Must be willing to work across time zones effectively with stakeholders in India and Brussels primarily, which will call or early mornings Hybrid work with minimum 2 days in the office-Flexible Preferred prior management experience 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.
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