Data Operations Analyst Jobs

31860BR

Role Responsibilities

As a Data Operations 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, with focus on data quality and driving data insights. 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, understand credit risk models, solve problems and your favorite question is ‘why’.

The Corporate Credit Data 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 using a variety of methods including statistics and relational databases
• Design and implement data quality monitoring and reporting processes to ensure ongoing data accuracy and consistency.
• Conduct data profiling and analysis to identify data quality issues and recommend solutions.
• Develop and implement AI-powered data quality strategies to improve the accuracy, completeness, and consistency of our data assets.
• Identify ways to improve data operations processes either by automation or other means
• Perform quality control on data by analyzing patterns and data discrepancies and resolve related issues
• Produce reports using Business Intelligence tools that describe data characteristics and highlight trends and issues
• Develop and maintain data quality metrics to measure the effectiveness of data quality processes
• Build data model for input and output of credit risk models
• Support and resolve data inquiries and issues with accuracy and in a timely manner
• Build and maintain data processing and calculations to feed MA’s credit risk measurement and related products/models
• Monitor and analyze data quality trends, and develop strategies to improve data quality over time
• Contribute towards documentation of the processes/projects as they near completion

Qualifications

• Requires Bachelor’s degree in Economics, Statistics, Finance, Accounting, Operations, Engineering or a related field.
• Proficiency in MS Office, especially MS Excel
• Superb analytical skills, persistence in problem solving, and ability to learn quickly and independently
• Graduate degree and/or 1-2 years of work experience is a plus.
• Proficiency in SQL (SQL Server, PostgreSQL, MySQL)
• Strong logical thinking that can develop robust code for data analysis and QC process
• Exposure or interest in financial services space
• Strong organizational skills, attention to detail, and ability to manage multiple projects with tight deadlines
• Strong attention to detail and accuracy
• Experience with a scripting language (Python)
• Proficiency in a statistical package (R),
• Excellent written and oral communication skills
• Experience working with AWS (Glue, Athena)
• Ability to correctly read and interpret financial statements such as 10K and 10Q; US GAAP, IFRS, and other regional accounting principles
• Experience working with Large Language Models

Preferred:

• Experience working with major financial data feeds
• Experience in data modeling and query optimization
• Exposure to third-party BI Tools: Tableau, Qlik, R Shiny
• Exposure to ETL tools: CloverETL

The Predictive Analytics group transforms our data into state-of-the-art analytics to help clients make better decisions in the face of uncertainty. Our clients come from a wide range of industries such as banking, insurance, commercial real estate and many more. They use our economic research to evaluate credit-worthiness, to monitor risks and opportunities when weighing up major investment decisions as part of their corporate strategy. Our team is made up of intellectually curious economists, data scientists, and IT professionals who combine technical skills with a strong desire to understand clients’ needs.

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 [email protected]. 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.

Moody’s is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but don’t meet every single requirement, please apply! You may be a perfect fit for this role or other open roles.

Moody's is a global integrated risk assessment firm that empowers organizations to make better decisions.

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

For US-based roles only: the anticipated hiring base salary range for this position is $64,600 to $117,100, 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.