Job Description

Experience Level: Experienced Hire

Categories:

ESG Analytics, Data & Research

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)

Entity: Moody's Analytics(MA)

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 Data Solutions division is the commercial data business of Moody’s Analytics, 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 Investors Service. 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:

As a member of the Proprietary Data Team, the Data Specialist will be responsible for analyzing vast datasets to identify and resolve entities, extracting trends to enhance data quality and accuracy. This role demands a blend of analytical prowess and technical skills, facilitating the translation of data insights into actionable requirements for our software development team and ensuring the successful implementation and integration of solutions without compromising existing data integrity.

Key Responsibilities:

Conduct comprehensive data analysis with a focus on entity resolution to identify, differentiate, and match entities across multiple datasets.Utilize tools such as SQL and Excel to manipulate and analyze data, with a strong emphasis on accuracy and detail.Extract and interpret trends from data analysis, translating these insights into clear requirements for the software development team to implement.Collaborate closely with IT professionals and developers to ensure the accurate execution of requirements and to validate the integration of new solutions.Monitor and verify the outcomes of implemented solutions, ensuring they meet the predefined criteria and do not adversely affect existing data quality.Continually assess and refine the entity resolution process to enhance data quality, accuracy, and efficiency.Stay abreast of the latest trends and advancements in data analysis and entity resolution techniques.

Required Skills & Qualifications:

Minimum bachelor’s degree in Economics, Computer Science, Data Science, Information Technology, or a related field, Master’s degree is a plus.Must have 2-4 Years of proven experience in data analysis and managementExperience with SQL, Excel, and other data analysis tools.Ability to translate complex data insights into actionable requirements for technical teams.Excellent problem-solving skills and attention to detail.Strong communication skills, with fluency in English, to effectively convey trends and requirements to both technical and non-technical stakeholders.Ability to work independently as well as part of a team in a fast-paced environment.

Preferred Skills & Qualifications:

Experience with Spark, Python, R, or other programming languages commonly used in data analysis.Knowledge of machine learning techniques and their application in entity resolution.Familiarity with data visualization tools and techniques.

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.