Extract and interpret financial data from corporate annual, interim and regulatory filings
Review income statements, balance sheets and cash flow statements across global markets
Run detailed quality checks for accuracy, consistency and completeness of financial data
Meet productivity, quality and deadline standards
Support data governance initiatives for Moody's financial products
From the employer’s posting
Analyze and extract financial data, insights, and other relevant information from corporate financial documents
Review and interpret financial statements, including Income Statements, Balance Sheets, and Cash Flow Statements from annual, interim, and regulatory filings of entities across global markets
Perform detailed quality checks to ensure accuracy, consistency, and completeness of financial data captured and processed
Maintain adherence to established productivity and quality standards while meeting defined deadlines
Support data governance initiatives that enhance the quality, usability, and reliability of Moody's financial products
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Time since we first saw it
Day 15
751
Similar jobs usually come down between day 7 and day 51.
At Moody's, jobs usually come down by about day 15.
From 595 similar postings that came down, and 78 of Moody's’s. Coming down is not always a hire.
Moody's is hiring
54 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Databricks
Excel
Snowflake
Tableau
Where the posting names them
- Strong organizational skills with the ability to manage multiple priorities and meet deadlines in a fast-paced environment
- Strong proficiency in Microsoft Office applications, particularly Excel, including Pivot Tables, Lookups, and other advanced analytical functions; Tableau, Snowflake, and Databricks knowledge is desirable
- English: Advanced written and verbal command
Complete your application on careers.moodys.com. The employer’s form will show what is required.
Applying through Radancy (TalentBrew)
Radancy (TalentBrew) runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.
Yes. We’ve followed one other Data Operations Specialist job there since September 2026. It is still up.
VilniusStill up after 70 days, first seen Sep 5
This jobUp 16 days so far, first seen Oct 29
Sep 5Today
About Moody's
People
About 5,300 in 2025, up 10% from the year before.Annual report (SEC Form 10-K)
Company
Listed as MCO.
Demand for Data Operations roles
New Data Operations postings at the employers we follow are up 214% over the last 6 weeks compared with the 6 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Operations, by the work the posting describes.
Data operations staff do the day-to-day work of getting data processed correctly: loading and checking files, moving records between systems, fixing errors and following set procedures.
Expect Excel, some SQL, close attention to detail, and knowledge of the particular systems the company runs.
Data governance sets the rules for the data; data operations does the hands-on work of processing it and keeping it moving.
1-3 years of experience analyzing financial statements and financial disclosures
Knowledge of US GAAP, IFRS, and/or local GAAP accounting standards; experience with multiple accounting frameworks is considered an advantage
Advanced understanding of corporate filings and financial reports, including annual reports, 10-K filings, solvency reports, and other regulatory documents
Hands-on experience extracting, interpreting, and validating financial data and insights from published financial statements
Exceptional attention to detail and commitment to data quality
Strong organizational skills with the ability to manage multiple priorities and meet deadlines in a fast-paced environment
Strong proficiency in Microsoft Office applications, particularly Excel, including Pivot Tables, Lookups, and other advanced analytical functions; Tableau, Snowflake, and Databricks knowledge is desirable
English: Advanced written and verbal command
Spanish: Advanced written and verbal command
Business proficiency in other languages is a plus
Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use
Education
Bachelor's degree in Accounting, Finance, Business Administration, Economics, or a related field
Responsibilities
The Financial Spreader Specialist analyzes published financial documents of corporate entities globally to extract, validate, and govern high-quality financial data that strengthens Moody's product value and market impact.
Analyze and extract financial data, insights, and other relevant information from corporate financial documents
Review and interpret financial statements, including Income Statements, Balance Sheets, and Cash Flow Statements from annual, interim, and regulatory filings of entities across global markets
Perform detailed quality checks to ensure accuracy, consistency, and completeness of financial data captured and processed
Maintain adherence to established productivity and quality standards while meeting defined deadlines
Support data governance initiatives that enhance the quality, usability, and reliability of Moody's financial products
Collaborate effectively with global stakeholders, Subject Matter Experts (SMEs), and Data Operations leadership to achieve team objectives
Demonstrate accountability, ownership, and a continuous improvement mindset while contributing to operational excellence
About the Team
The Credit & Financials - Data Operations Costa Rica Team brings together data analytics, finance, and accounting expertise to maintain, develop, review, and improve tools that help Moody's deliver more value to customers and stakeholders. As part of the Data Estate Organizational Unit, the team plays a critical role in advancing Moody's value proposition among a wide range of financial market participants by ensuring the highest level of financial data governance, quality, and usability across our products. By joining this team, you will partner closely with global Data Operations Leaders, Subject Matter Experts, and cross-functional collaborators, contributing to innovation-driven work that shapes the future of financial data at Moody's.