Bachelor's degree or equivalent qualification in Computer Science, Information Systems, Data Analytics, Statistics, or another quantitative field required
Qualification wording
Bachelor's degree or equivalent qualification in Computer Science, Information Systems, Data Analytics, Statistics, or another quantitative field required
Education & alternatives
Education
- Bachelor's degree or equivalent qualification in Computer Science, Information Systems, Data Analytics, Statistics, or another quantitative field required
Responsibilities
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.
SQL
Power BI
Where the posting names them
- Ability to adapt to a changing environment, manage multiple priorities, and meet tight deadlines
- Basic SQL knowledge for data validation and reporting purposes is preferred but not required
- Experience assisting with technical documentation such as Technical Design Documents is preferred but not required
Skills and Competencies
- 2 or more years of business experience in a data, analytics, or finance environment. Working knowledge of Power BI, including data modeling, DAX, and report and dashboard development. Familiarity with JIRA for tracking tasks, sprints, and delivery status
- Strong verbal and written communication skills, with the ability to coordinate between technical and non-technical stakeholders
Responsibilities
- Develops Power BI dashboards and coordinates data engineering delivery to support analytics and reporting needs for the Finance department.
- Design, build, and maintain Power BI dashboards and reports, including data modeling, DAX measures, and row-level security, to support the business intelligence and analytics needs of the Finance department
- Develops Power BI dashboards and coordinates data engineering delivery to support analytics and reporting needs for the Finance department.
- Design, build, and maintain Power BI dashboards and reports, including data modeling, DAX measures, and row-level security, to support the business intelligence and analytics needs of the Finance department
- Support data and analytics requests by transforming raw pipeline and project data into clear, production-ready business intelligence reports and visual insights
- Work closely with data engineers and business stakeholders, tracking tasks, dependencies, and blockers in JIRA to keep the delivery pipeline on schedule
- Assist data engineers with project artifacts, including Technical Design Documents, process documentation, and delivery checklists. Maintain the Power BI service including gateways, dataflows, and workspace administration to ensure reliable and repeatable reporting processes
- Collaborate with cross-functional teams to investigate and resolve reporting and data quality issues in a timely manner
- Participate in sprint planning and delivery reviews to support continuous improvement of the analytics delivery process
About the Team At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. As a global leader in ratings and integrated risk assessment with 14,000+ employees across 90 cities, we are committed to fostering an inclusive and innovative workplace. Our Finance Data Engineering team is responsible for delivering accurate data pipelines, business intelligence solutions, and analytics capabilities that support financial decision-making and reporting across Moody's. By joining our team, you will be part of exciting work in data engineering, Power BI development, and process optimization in Gurugram, India, where we are actively integrating AI-powered tools to enhance our analytics workflows and drive smarter, faster insights for the business.
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.
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.
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.
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 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.
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
2 or more years of business experience in a data, analytics, or finance environment. Working knowledge of Power BI, including data modeling, DAX, and report and dashboard development. Familiarity with JIRA for tracking tasks, sprints, and delivery status
Strong verbal and written communication skills, with the ability to coordinate between technical and non-technical stakeholders
Ability to adapt to a changing environment, manage multiple priorities, and meet tight deadlines
Basic SQL knowledge for data validation and reporting purposes is preferred but not required
Experience assisting with technical documentation such as Technical Design Documents is preferred but not required
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 or equivalent qualification in Computer Science, Information Systems, Data Analytics, Statistics, or another quantitative field required
Responsibilities
Develops Power BI dashboards and coordinates data engineering delivery to support analytics and reporting needs for the Finance department.
Design, build, and maintain Power BI dashboards and reports, including data modeling, DAX measures, and row-level security, to support the business intelligence and analytics needs of the Finance department
Support data and analytics requests by transforming raw pipeline and project data into clear, production-ready business intelligence reports and visual insights
Work closely with data engineers and business stakeholders, tracking tasks, dependencies, and blockers in JIRA to keep the delivery pipeline on schedule
Assist data engineers with project artifacts, including Technical Design Documents, process documentation, and delivery checklists. Maintain the Power BI service including gateways, dataflows, and workspace administration to ensure reliable and repeatable reporting processes
Collaborate with cross-functional teams to investigate and resolve reporting and data quality issues in a timely manner
Participate in sprint planning and delivery reviews to support continuous improvement of the analytics delivery process
About the Team At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. As a global leader in ratings and integrated risk assessment with 14,000+ employees across 90 cities, we are committed to fostering an inclusive and innovative workplace. Our Finance Data Engineering team is responsible for delivering accurate data pipelines, business intelligence solutions, and analytics capabilities that support financial decision-making and reporting across Moody's. By joining our team, you will be part of exciting work in data engineering, Power BI development, and process optimization in Gurugram, India, where we are actively integrating AI-powered tools to enhance our analytics workflows and drive smarter, faster insights for the business.
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.