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Data Operations Specialist

Heredia, Provincia de Heredia

Live, first seen by us 15 days ago
Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • 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

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in Accounting, Finance, Business Administration, Economics, or a related field
Qualification wording
Bachelor's degree in Accounting, Finance, Business Administration, Economics, or a related field
Education & alternatives
Education - Bachelor's degree in Accounting, Finance, Business Administration, Economics, or a related field Responsibilities
Apply at Moody's

Posting record

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Status in our records
Live
First seen by us
Oct 29, 202615 days ago
Recorded sightings
18
Last seen by us
Nov 13, 2026
Reposted
once since Oct 7, 2026

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

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.

  • Takes jobs down at a usual pace
  • 11% of open jobs were reposted
Hiring record

See how this role fits your experience

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  • 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

Your next step

Complete your application on careers.moodys.com. The employer’s form will show what is required.

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Has Moody's posted this job before?

Yes. We’ve followed one other Data Operations Specialist job there since September 2026. It is still up.

  1. VilniusStill up after 70 days, first seen Sep 5
  2. This jobUp 16 days so far, first seen Oct 29

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.

Weekly new Data Operations postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 23, the most 193, and the latest week had 74.
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.

Job description

View original posting ↗

Skills and Competencies
  • 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.

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Heredia, Provincia de Heredia

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