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Moody’s (NYSE: MCO) 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. Learn more atmoodys.com.

At Moody’s, we’re taking action. We’re hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We’re educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at moodys.com/diversity

Moody’s Analytics provides financial intelligence and analytical tools supporting our clients’ growth, efficiency and risk management objectives. The combination of our unparalleled expertise in risk, expansive information resources, and innovative application of technology, helps today’s business leaders confidently navigate an evolving marketplace.

Department

Predictive Analytics

Role/Responsibilities

As a Data Analyst, you will have the opportunity to contribute to a team responsible for generating and delivering industry leading risk metrics to a variety of products offered by Moody’s Analytics. The Data Analyst may perform a variety of different data management job functions, including data acquisition, data processing, data operations. This position involves a blend of qualitative/quantitative financial research and technical skills to source and maintain credit risk data and models. This position is for you, if you are a quick learner, have a passion for data to identify trends, uncover patterns, solve problems and your favorite question is ‘why’.

The Data Management and Analytics group is responsible for managing the critical processes that ensure the accuracy and timely delivery of vital financial data that is linked to our industry-standard credit risk measurement tools and related software applications. This role will facilitate that process, working with the engineering, IT, support, and development teams to ensure the timely and seamless delivery of data to clients. Additionally, the role is responsible for gathering and inputting financial data from clients into the company’s credit risk measurement tools and software, as well as running the data processing and calculations that feed the company’s credit risk measurement and management products.

Responsibilities:

• Perform data analysis, data profiling, and data mapping activities for new data sources.

• Responsible for the maintenance of a Predictive Analytics data dictionary

• Support and resolve data inquiries with accuracy and in a timely manner

• Perform data analysis using a variety of methods including statistics and relational databases

• Produce reports using Business Intelligence tools that describe data characteristics and highlight trends and issues

• Contribute towards documentation of the processes/projects

Qualifications

• Requires Bachelor’s degree in Economics, Finance, Accounting, or a related field.

• Graduate degree and/or 1-2 years of work experience is preferred.

• Strong organizational skills, attention to detail, and ability to manage multiple projects with tight deadlines

• Superb analytical skills, persistence in problem solving, and ability to learn quickly and independently

• Excellent written and oral communication skills

• Ability to correctly read and interpret financial statements such as 10K and 10Q; US GAAP, IFRS, and other regional accounting principles

• Experience working with AWS (Glue, Athena)

• Proficiency in SQL (SQL Server, PostgreSQL, MySQL)

• Experience with Data Catalog tools (Collibra is preferred)

• Proficiency in a statistical package (R)

• Experience with a scripting language (Python)

• Proficiency in MS Office, especially MS Excel

Preferred:

• Exposure to third-party BI Tools: Tableau, Qlik, Looker, R Shiny

• Experience in data modeling and query optimization

Must be fully vaccinated for COVID-19 (i.e., at least 2 weeks after last dose) and, if hired, present proof of vaccination on start date, as determined by Moody’s.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement.

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.