Time since we first saw it
Day 28
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.
Assistant Director - Data Analytics (Databricks)
Heredia, Provincia de Heredia
Live, first seen by us 28 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingElicit and prioritize reporting and analytics requirements with business stakeholders
Write user stories, business requirements, data definitions and acceptance criteria
Act as architectural partner on Databricks, reporting and AI-enabled solution design
Lead or support end-to-end testing of reports and datasets against source systems
Support data modeling, semantic layers and source-to-target mapping
From the employer’s posting
Partner with Business Intelligence, Financial Planning and Analysis, Sales Planning and Analytics, and other stakeholders to elicit, clarify, and prioritize reporting, analytics, and data product requirements
Translate business problems into clear user stories, business requirements, data definitions, and acceptance criteria
Act as an architectural partner by evaluating and recommending the best approach across Databricks, reporting layers, analytical workflows, and AI-enabled solutions
Lead or support end-to-end testing of reports, datasets, and analytical outputs, validating results against source systems and business rules
Support data modeling activities aligned to business semantics including dimensions, measures, hierarchies, grain, and lineage requirements
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Business, Finance, Statistics, Data Science, Computer Science, or a related field, or equivalent practical experience
Qualification wording
Bachelor's degree in Business, Finance, Statistics, Data Science, Computer Science, or a related field, or equivalent practical experience
Education & alternatives
Education - Bachelor's degree in Business, Finance, Statistics, Data Science, Computer Science, or a related field, or equivalent practical experience Responsibilities
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 16, 202628 days ago
- Recorded sightings
- 77
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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.
- Databricks
- Power BI
Where the posting names them
- Knowledge of data modeling, Lakehouse and data warehousing concepts including dimensional modeling, semantic layers, data quality, lineage, and governance - Experience with Databricks, Microsoft Power BI, or comparable analytics platforms; familiarity with CRM and analytical source systems such as Salesforce is preferred - Strong analytical mindset with the ability to validate data, challenge assumptions, and ensure reporting accuracy and usability
- Translate business problems into clear user stories, business requirements, data definitions, and acceptance criteria - Act as an architectural partner by evaluating and recommending the best approach across Databricks, reporting layers, analytical workflows, and AI-enabled solutions - Facilitate workshops and working sessions with business and technical stakeholders while managing expectations, trade-offs, and delivery scope
Your next step
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.
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
- 5+ years of business analysis, requirements gathering, and stakeholder management experience in business intelligence, analytics, or data product delivery, ideally supporting finance, revenue, lead-to-cash, or enterprise reporting environments
- Demonstrated ability to translate ambiguous business problems into structured requirements, user stories, functional specifications, and testable acceptance criteria
- Strong partnership skills across business and technology teams with the ability to influence design decisions and recommend practical, business-aligned solutions
- Experience designing business-aligned data products, semantic models, reporting frameworks, and reusable analytics solutions in partnership with engineering teams
- Knowledge of data modeling, Lakehouse and data warehousing concepts including dimensional modeling, semantic layers, data quality, lineage, and governance
- Experience with Databricks, Microsoft Power BI, or comparable analytics platforms; familiarity with CRM and analytical source systems such as Salesforce is preferred
- Strong analytical mindset with the ability to validate data, challenge assumptions, and ensure reporting accuracy and usability
- Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use
Education
- Bachelor's degree in Business, Finance, Statistics, Data Science, Computer Science, or a related field, or equivalent practical experience
Responsibilities
Partner with business and technology teams to design and deliver trusted analytics, reporting, data products, and AI-enabled solutions
- Partner with Business Intelligence, Financial Planning and Analysis, Sales Planning and Analytics, and other stakeholders to elicit, clarify, and prioritize reporting, analytics, and data product requirements
- Translate business problems into clear user stories, business requirements, data definitions, and acceptance criteria
- Act as an architectural partner by evaluating and recommending the best approach across Databricks, reporting layers, analytical workflows, and AI-enabled solutions
- Facilitate workshops and working sessions with business and technical stakeholders while managing expectations, trade-offs, and delivery scope
- Support data modeling activities aligned to business semantics including dimensions, measures, hierarchies, grain, and lineage requirements
- Contribute to reporting design, source-to-target mapping, semantic layer development, reusable data products, and data consumption patterns
- Lead or support end-to-end testing of reports, datasets, and analytical outputs, validating results against source systems and business rules
- Ensure solutions meet standards for data quality, accuracy, governance, usability, and identify opportunities for AI-driven insights, automation, and decision support
About the Team
The Customer Operations and Risk organization supports the customer lifecycle and lead-to-cash processes across the enterprise. As part of the Business Systems function within the Data Management and Analytics team, you will help deliver trusted data, reporting, and insights that enable informed decision-making. The team partners closely with business and technology stakeholders to design scalable analytics solutions, promote responsible adoption of AI-enabled capabilities, and drive continuous improvement across reporting and operational processes.
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
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Heredia, Provincia de Heredia
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.