Senior Data Operations Specialist
hace 1 día
At Moody's, we strive to create an inclusive environment where everyone feels welcome to be who they are. As a Senior Data Operations Specialist, you will contribute to the optimization of our North American Data Operations. You will be responsible for ensuring the availability, integrity, and accuracy of data on our flagship product Orbis. This role will assist in creating and documenting processes for our data pipeline, remediating observations in our data leveraging automation and rules engines, as well as interrogating the data using data analytics skills.
Data Quality Management
Execute and help define processes and methodologies to monitor, measure, and improve data quality across different data sources. Manage the quality of data elements from ingestion to publication, report anomalies, and work with technology teams to resolve.
Data Operations Optimization
Perform the necessary analysis to evaluate and enhance data operations processes. Identify opportunities to automate, streamline, and improve efficiency and effectiveness. Provide and update documentation regarding collection methods, internal procedures, definitions, and metadata.
Data Integration and ETL
Contribute to the design and implementation of data integration and ETL processes to enable seamless data flow across systems, applications, and databases. Work with local information providers.
Cross-Functional Collaboration
Collaborate with Sales, Content, and Product Strategy to develop knowledge on our customers' use cases, understand business requirements and priorities to reach our business objectives. This role will also collaborate with Technology to help design and optimize data architecture, data model, and data pipeline. Support clients and internal stakeholders with data-related requests.
Education and Experience
Preferred Bachelor's degree in Information Systems, Computer Science, Data Management, Economics, Finance, or related major. 2-3 years of working experience with proven experience in data operations, data management, data analytics, automation, or a related role. Advanced SQL knowledge. Working knowledge of Oracle, Redshift, and Postgres. 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. Preferred 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. Preferred 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 for early mornings. Hybrid work with minimum 2 days in the office-Flexible
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