Moody’s
is hiring
Data Analyst, Quality
About Our Company
Moody’s is a global integrated risk assessment firm that empowers organizations to make better decisions. Our data, analytical solutions and insights help decision-makers identify opportunities and manage the risks of doing business with others. We believe that greater transparency, more informed decisions, and fair access to information open the door to shared progress. With over 11,000 employees in more than 40 countries, Moody’s combines international presence with local expertise and over a century of experience in financial markets.
Job Description & Responsibilities
Our Global Ratings Operations & Controls (ROC) team is seeking a Data Quality Analyst to assist in data improvement initiatives across the organization. They will work closely with cross-functional teams that adopt Agile operating methods. They will support the creation of data lineage flows, participate in designing data taxonomies, help define data elements and data concepts for end-users, support data migration into a modern, cloud-based data infrastructure. They will assist in multi-year initiatives that transform processes to enable digitalization and adoption of generative AI technologies. These initiatives include the full range of workflows, ratings and research, ESG and other activities. The role will serve as a key contact person between the various business functions and technical teams. A successful candidate will have a diverse skillset, be proactive, and have strong analytical and technical skills.
Key responsibilities for this role include but are not limited to the following:
- Perform data lifecycle analysis including data profiling, requirements gathering and documenting, data mappings, process and data design flows, data quality controls input, and testing assistance
- Investigate, analyze and continuously improve data taxonomies and data attributes for key workflow data sets to support digital solutions
- Assist in developing an initial set of harmonized data requirements contributing to efficiency and quality enhancements
- Participate in the definition of data concepts, common reference data and establish sound data usage practices with relevant partners
- Partner with technology, data, and process teams to develop next generation data structure plan including creating databases, supporting data migration activities and establishing data governance practices
- Identify and assess a new and/or third party data source for use within a business workflow
- Support team members to engage across key MIS partners to determine the data required to deliver the target state service solution, and map the end-to-end data lineage
- Cleanse, validate and migrate data elements from legacy databases to modern data infrastructure
- Assist in designing and monitoring key performance indicators related to key data processes and data quality, and monitor and report on observed process performance including to suggest data improvements
- Contribute to a rigorous and consistent framework to govern data changes and align this approach with partner teams
- Challenge the status quo and provide an innovative way of thinking for out-of-the-box data solutions, data performance metrics and new or third-party data sources
- Collaborate with our learning and process teams to develop data training, communication plans and roll-out plans for key data and technology changes
- Establish and maintain a strong understanding of Moody’s business processes and data needs of the assigned business project and/or MIS Strategic objective
- Support the team in the collection of data metrics (quality, operational, governance) and enablement of data controls and best practices.
- Define, document, and manage business and data requirements documentation
- Develop and update supporting content and training materials (e.g., FAQs, presentations, training, SOP, etc.).
- Collaborate with key stakeholder cross-vertically and globally to support MIS’ strategy and activities
- Identify inefficiencies in business processes and recommend improvements. Track improvements and monitor effectiveness.
Requirements
Qualifications:
- Undergraduate BA/BS degree in Business, Finance, Technology, Engineering or related field is required.
- 1+ year of demonstrable experience in data management and data transformation roles
- 1-3 years of Business/System/Data Analyst experience (requirements, data mappings, process flows, conceptual data modeling, etc.)
- Experience working with customers and/or users to understand data requirements and use cases
- Experience using Master Data Management and Data Governance tools such as DBeaver, pgAdmin, Access, Collibra
- A great team member with an ability to adapt to change quickly and balance multiple priorities is crucial.
- Knowledge of database structures, data lineage mapping, data governance reporting
- The candidate should be highly organized and efficient, with a strong attention to detail and excellent communication skills ((both verbal and written), including the ability to translate technical concepts to business concepts and vice versa
- Experience working with unstructured data
- Experience with SQL a must, experience with Data Profiling, ETL and Data Reporting tools a plus
- Understanding of Agile methodologies
- Strong interpersonal skills are required, with the ability to reach across the organization to acquire information.
- Proficient in MS Excel (VBA, macros, VLOOKUP’s, etc.), Word, and PowerPoint is required.
- Proficient communication skills to simplify complex themes
- Knowledge of Moody’s rating systems, analysis tools, and operational processes is a plus.
What we offer
For US-based roles only: the anticipated hiring base salary range for this position is [[$86,500 - [[$125,500, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.