Data Management 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.

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.

Data Solutions Department

The Data Solutions division is the commercial data business of Moody’s, bringing together a vast catalogue of data to help business decision-makers assess risks and opportunities. We are best known for Orbis, the world’s most comprehensive database of public and private companies. We are also the definitive source of ratings-related data for companies and securities that have been rated by Moody’s Ratings. We strive to deliver convenience and insight to our customers by eliminating the hassle of sourcing, preparing, and accessing data, adding value when decisions need to be made. Any analytical activity depends on reliable and accessible data, and we are proud to be a mission-critical information resource for decision-makers around the world.

Role/Responsibilities:

As a member of the Publication Operations team, the Data Modelling Specialist will be responsible for managing the data model through our data pipeline.
Gain an in-depth understanding on the availability and publication of key data domains for entities: firmographics, financial statements, directors/managers, and shareholder structures.
Help in documenting the data dictionary.
Coordinate and provide Logical Data Model information across the business especially among engineers and product strategists.
Document and gather the requirements from the business.
Design, maintain and update the data model based on stakeholder requests following the data model governance operational workflow.
Design, set up and start operating the data model governance operational workflow.
Produce and validate the stakeholder's enablement material.
Inform and educate stakeholders.
Manage the reference table system(s).

Qualifications:

Minimum bachelor’s degree or equivalent experience in Economics, Finance, Information Systems, Computer Science or related major, master’s degree is a plus.
3+ years of professional Data Operations experience particularly focusing on the data models area.
Experience with Data Modelling tools (Hackolade, ERwin, ER/Studio) is mandatory.
Understand all aspects of ETL processes.
Excellent oral/written communication and presentation skills which bring clarity and precision to help management understand and visualize complex material to support organizational decision-making is a must.
Excellent problem-solving and critical-thinking skills to recognize and comprehend complex issues, processes, and requirements regarding managing large data sets.
Willing to learn new technologies, capable of self-directed learning.
Experience with Collibra.
Experience with streaming and APIs technology.
Experience writing SQL and/or Python queries
Knowledge of SQL Server Architecture as well as NoSQL frameworks.

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.

Please click on the link below to apply for this position. A new window will open and direct you to apply at our corporate careers page. We look forward to hearing from you!

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: Data Solutions OU(DAAS OU)

Job Category:

• Product Development

Experience Level: Experienced Hire