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Moody’s – Data Analyst


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Moody’s

Data Analyst

India – Remote
Full Time

Moody’s hiring poster vthetecheejobs

About the Company

At Moody’s, we believe in harnessing the collective power of exceptional individuals to transform contemporary challenges into future opportunities. This is achieved by cultivating an inclusive workplace where every employee feels empowered to be their authentic self, freely exchanging ideas, fostering innovation, and actively listening to colleagues and clients to understand their needs deeply.

Job Description

This position will be a vital contributor to our technology, infrastructure, and operations teams, ranging from automating routine operational procedures and developing robust data transformation workflows to facilitating self-service analytics capabilities.

Company NameMoody’s
RoleData Analyst
LocationIndia – Remote
Salary
Job TypeFull Time




Responsibilities

  • Develop raw data into refined, validated, and reusable datasets.
  • Transform data by identifying, flagging, or removing inaccurate, sensitive, or corrupted data entries; aggregating data elements; and integrating data from various database tables.
  • Define and implement data quality rules, requirements, and metrics to ensure accuracy and consistency across all data assets.
  • Design, develop, and maintain dashboards and visualizations, including:
    * Customized analytics reports
    * Operational dashboards for monitoring key performance indicators
    * Strategic dashboards for tracking Key Performance Indicators (KPIs) and Objectives and Key Results (OKRs)
    * Analytical dashboards for identifying trends and patterns
    * Forecasting tools for predictive analysis
  • Champion and enforce best practices for data governance, quality assurance, and change management across all production reports and dashboards.
  • Document data handling procedures and policies to establish a common understanding and standardized definitions among data analysts.
  • Create reusable and readily accessible data assets for analytical purposes.
  • Collaborate closely with internal teams, such as Financial Planning & Analytics, Customer Success, and Sales Performance & Analytics, to ensure exceptional user experiences and widespread adoption of new reporting methodologies.
  • Spearhead initiatives to automate and modernize reporting structures and data visualizations.
  • Identify and implement enhancements to existing processes and workflows through the application of Generative/Agentic AI and other approved technologies.
  • Comprehend business requirements and deliver clear, actionable insights that support customer-centric decision-making processes.
  • Work in conjunction with internal stakeholders to standardize and optimize existing processes, thereby enhancing operational efficiency and overall performance.

Qualifications

  • Bachelor’s or advanced degree in Engineering, Computer Science, Business Analytics, Data Science, or a closely related discipline.

Skills

Demonstrated expertise in SQL scripting, debugging, and proficiency with integration tools and cloud-based data warehouses is essential.
Proven ability to articulate intricate concepts with clarity and engage in effective collaboration with diverse stakeholders is essential.
The capability to distill complex information into easily understandable insights and present data in a compelling, narrative-driven manner is essential.
Verifiable experience working both independently and collaboratively within a geographically distributed team, effectively receiving direction from multiple team members is essential.
Solid understanding of data modeling methodologies is essential.
Previous experience with reporting software packages, including Tableau, PowerBI, and Qlik, is preferred.

ATS Keywords

Data Analyst
SQL
Tableau
PowerBI
Qlik
Data Modeling
Data Governance
Data Quality
Data Transformation
Data Visualization
KPI
OKR
Predictive Analysis
Reporting
Automation
Generative AI
Agentic AI
Business Analytics
Computer Science
Engineering
Bachelor’s Degree
Cloud Data Warehouses

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Frequently Asked Questions

What are the key skills required for this role?

The essential skills include expertise in SQL scripting, data modeling, data visualization tools like Tableau and PowerBI, and the ability to communicate complex concepts clearly. Experience with cloud-based data warehouses is also highly valued.

What kind of projects will I be working on?

You’ll be involved in developing reusable datasets, designing dashboards and visualizations, automating reporting processes, and identifying process improvements using technologies like Generative AI. You will also be contributing to data governance and quality assurance initiatives.

What teams will I be collaborating with?

You’ll be collaborating with internal teams such as Financial Planning & Analytics, Customer Success, and Sales Performance & Analytics to ensure effective data usage and improve reporting methodologies.

Is this role remote?

Yes, this role is remote and based in India.

Other Information

Moody’s is committed to being an equal opportunity employer. We provide equal consideration for employment to all qualified applicants 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 applicable law.

Candidates under consideration for positions at Moody’s Corporation may be required to disclose information regarding their securities holdings in accordance with Moody’s Policy for Securities Trading and the requirements of the specific role. Employment is contingent upon compliance with the Policy, which may include the remediation of positions in those holdings as deemed necessary.

Tags

Data Analyst
SQL
Data Visualization
Tableau
PowerBI
Data Modeling
Remote
India




How to Apply

  1. Review Job Details: Read through all the job details on this page to understand the requirements and responsibilities.
  2. Click the Apply Link: Scroll down and click the “Apply Link” button to be redirected to the official website.
  3. Fill Out the Application: On the official website, fill out the application form with the provided information.
  4. Double-Check Your Information: Before submitting your application, review all the details you’ve provided to ensure accuracy and completeness.
  5. Submit Your Application: Once you’re satisfied with your application, submit it through the official website as instructed.







From vthetechee.com on 2025-07-27 11:04:14





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