Time since we first saw it
Day 11
Similar jobs usually come down between day 5 and day 43.
At Moody's, jobs usually come down by about day 15.
From 14,545 similar postings that came down, and 78 of Moody's’s. Coming down is not always a hire.
Data Specialist Intern
Heredia, Provincia de Heredia
Live, first seen by us 11 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- New graduates
- For current students
Job title: Data Specialist Intern
What you’ll work on
Full postingSet up and run data quality checks for accuracy, consistency and completeness
Analyze data operations processes to find ways to automate and streamline them
Support building new data pipelines and fixing data issues with automation and rules engines
Query and analyze data to surface trends and anomalies
Help design data architecture, models and pipelines with Technology teams
From the employer’s posting
Execute and help establish data quality processes and methodologies to monitor, measure, and improve data accuracy, consistency, completeness, and uniqueness across multiple data sources
Perform analysis to evaluate and enhance data operations processes, identifying opportunities to automate, streamline, and improve efficiency and effectiveness
Support the creation of new data pipeline processes and assist in remediating data observations by leveraging automation and rules engines
Interrogate and analyze data using analytical tools and skills to surface trends, anomalies, and opportunities for continuous improvement
Partner with Technology teams to help design and optimize data architecture, data models, and data pipelines
Education & alternatives
- 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- Preferred Bachelor's degree in Information Systems, Computer Science, Data Engineering, Data Science, Software Development, or a related field - Ideal graduation year: 2028
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Nov 2, 202611 days ago
- Recorded sightings
- 12
- Last seen by us
- Nov 13, 2026
- Reposted
- once since Oct 29, 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
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
See how this role fits your experience
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.
- Python
- SQL
- Databricks
- MySQL
- PostgreSQL
- Spark
- SQL Server
- Matplotlib
- NumPy
- pandas
- PySpark
- scikit-learn
Where the posting names them
- Knowledge of SQL, including the ability to write and optimize queries for data extraction, transformation, and reporting; familiarity with relational database systems such as PostgreSQL, MySQL, or SQL Server is a plus - Hands-on experience with Python for data manipulation, including Pandas and NumPy for data processing, cleaning, and analysis; familiarity with libraries such as matplotlib, seaborn, or scikit-learn is advantageous - Understanding of data architectures, data modeling, ETL processes, and data integration technologies
Skills and Competencies - Knowledge of SQL, including the ability to write and optimize queries for data extraction, transformation, and reporting; familiarity with relational database systems such as PostgreSQL, MySQL, or SQL Server is a plus - Hands-on experience with Python for data manipulation, including Pandas and NumPy for data processing, cleaning, and analysis; familiarity with libraries such as matplotlib, seaborn, or scikit-learn is advantageous
- Preferred knowledge of Spark, including distributed computing frameworks for handling large datasets; familiarity with PySpark or SparkSQL is highly preferred, especially for ETL processes and data operations at scale - Preferred knowledge of Databricks, including experience with the platform for collaborative data engineering, machine learning, and analytics; familiarity with Databricks notebooks, Spark workflows, and scalable data processing is a plus - Preferred working experience in data operations, data management, data analytics, automation, or a related role
- Strong problem-solving and critical-thinking skills to recognize and address complex issues related to managing large datasets - Preferred knowledge of Spark, including distributed computing frameworks for handling large datasets; familiarity with PySpark or SparkSQL is highly preferred, especially for ETL processes and data operations at scale - Preferred knowledge of Databricks, including experience with the platform for collaborative data engineering, machine learning, and analytics; familiarity with Databricks notebooks, Spark workflows, and scalable data processing is a plus
Your next step
Complete your application on careers.moodys.com. The employer’s form will show what is required.
Applying through Radancy (TalentBrew)
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Already applied? Track this application
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 Analyst roles
New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.
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 Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
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. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
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.
Skills and Competencies
- Knowledge of SQL, including the ability to write and optimize queries for data extraction, transformation, and reporting; familiarity with relational database systems such as PostgreSQL, MySQL, or SQL Server is a plus
- Hands-on experience with Python for data manipulation, including Pandas and NumPy for data processing, cleaning, and analysis; familiarity with libraries such as matplotlib, seaborn, or scikit-learn is advantageous
- Understanding of data architectures, data modeling, ETL processes, and data integration technologies
- English proficiency at B2+ level or above
- Exceptional communication and interpersonal skills, with the ability to collaborate with diverse stakeholders and present complex ideas clearly and concisely to support organizational decision-making
- Strong problem-solving and critical-thinking skills to recognize and address complex issues related to managing large datasets
- Preferred knowledge of Spark, including distributed computing frameworks for handling large datasets; familiarity with PySpark or SparkSQL is highly preferred, especially for ETL processes and data operations at scale
- Preferred knowledge of Databricks, including experience with the platform for collaborative data engineering, machine learning, and analytics; familiarity with Databricks notebooks, Spark workflows, and scalable data processing is a plus
- Preferred working experience in data operations, data management, data analytics, automation, or a related role
- Willingness to work across time zones, with primary collaboration with stakeholders in India, Belgium, the United States, and the United Kingdom, which may require early morning availability
- Ability to work in a hybrid environment with a minimum of one day per week in the office
- 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
- Preferred Bachelor's degree in Information Systems, Computer Science, Data Engineering, Data Science, Software Development, or a related field
- Ideal graduation year: 2028
- Internship start date: March 2027
The Intern will contribute to the optimization of North American Data Operations, supporting end-to-end data processes to ensure the availability, integrity, and accuracy of data across our flagship product.
- Execute and help establish data quality processes and methodologies to monitor, measure, and improve data accuracy, consistency, completeness, and uniqueness across multiple data sources
- Perform analysis to evaluate and enhance data operations processes, identifying opportunities to automate, streamline, and improve efficiency and effectiveness
- Support the creation of new data pipeline processes and assist in remediating data observations by leveraging automation and rules engines
- Interrogate and analyze data using analytical tools and skills to surface trends, anomalies, and opportunities for continuous improvement
- Collaborate with cross-functional teams including Sales, Content, and Product Strategy to develop an understanding of customer use cases and translate business requirements into actionable data insights
- Partner with Technology teams to help design and optimize data architecture, data models, and data pipelines
- Support clients and internal stakeholders with data-related requests, ensuring timely and accurate responses
The Data Solutions division is the commercial data business of Moody's Analytics, bringing together a vast catalog 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, and serve as the definitive source of ratings-related data for companies and securities rated by Moody's Investors Service. Our team strives to deliver convenience and insight by eliminating the hassle of sourcing, preparing, and accessing data — adding real value at the moment decisions need to be made. We leverage advanced data analytics, automation, and emerging technologies, including AI, to continuously improve our data operations and meet the evolving needs of our clients. By joining our team, you will become part of a mission-critical information resource trusted by decision-makers around the world.
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.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Heredia, Provincia de Heredia
- Willingness to work across time zones, with primary collaboration with stakeholders in India, Belgium, the United States, and the United Kingdom, which may require early morning availability - Ability to work in a hybrid environment with a minimum of one day per week in the office - 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
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.