Job Summary We are seeking a DevOps Engineer to join our dynamic team and drive the automation, deployment, and management of our cloud infrastructure. The ideal candidate will have strong expertise in Kubernetes (EKS), AWS serverless technologies, Infrastructure as Code (Terraform), and CI/CD pipelines. This role requires a collaborative professional who can design, implement, and maintain scalable, secure, and efficient cloud-native solutions. Key Responsibilities Infrastructure & Platform Management Design, deploy, and manage Kubernetes clusters on Amazon EKS with high availability and security best practices Architect and implement AWS serverless solutions using Lambda, API Gateway, EventBridge, Step Functions, and other serverless services Develop and maintain Infrastructure as Code (IaC) using Terraform for multi-environment deployments Implement container orchestration strategies and manage microservices architectures CI/CD & Automation Design and maintain CI/CD pipelines using GitHub Actions and GitHub workflows Automate deployment processes across development, staging, and production environments Implement GitOps practices for infrastructure and application deployments Create and maintain automated testing frameworks for infrastructure validation Monitoring & Operations Implement comprehensive monitoring, logging, and alerting solutions using CloudWatch, Prometheus, Grafana, and ELK stack Ensure system reliability, performance optimization, and disaster recovery planning Troubleshoot complex production issues and implement preventive measures Manage secrets, configuration management, and security compliance Collaboration & Documentation Work closely with development teams to optimize application deployment and performance Create and maintain technical documentation, runbooks, and architecture diagrams Participate in on-call rotations and incident response procedures Required Qualifications Mandatory Skills Kubernetes & Container Orchestration : 2+ years of hands-on experience with Kubernetes, specifically Amazon EKS AWS Cloud Services : Strong expertise in AWS serverless technologies including: AWS Lambda, API Gateway, EventBridge, Step Functions CloudFormation, CloudWatch, IAM, VPC, S3, RDS Container services (ECS, ECR, Fargate) Infrastructure as Code : 2+ years of experience with Terraform for infrastructure provisioning and management CI/CD & Version Control : Proficiency in GitHub workflows, GitHub Actions, and Git-based development practices Technical Requirements Bachelor's degree in Computer Science, Engineering, or equivalent experience 4+ years of experience in DevOps, Cloud Engineering, or Platform Engineering roles Strong scripting skills in Python, Bash, or PowerShell Experience with Linux/Unix systems administration Understanding of networking concepts, security best practices, and compliance frameworks Preferred Qualifications (Good to Have) Data & Analytics Platforms Databricks : Experience with Databricks platform, cluster management, and MLOps workflows Apache Kafka : Knowledge of Kafka ecosystem including: AWS MSK (Managed Streaming for Kafka) Confluent Cloud platform and Kafka Connect Stream processing and event-driven architectures Database & Storage MongoDB : Experience with MongoDB Atlas, replica sets, sharding, and performance optimization NoSQL and SQL database administration and optimization Multi-Cloud & Additional DevOps Tools Microsoft Azure : Familiarity with Azure cloud services, particularly: Azure DevOps (Pipelines, Repos, Boards, Artifacts) Azure Kubernetes Service (AKS) Azure Resource Manager (ARM) templates Experience with additional tools: Jenkins, Ansible, Docker, Helm, ArgoCD Certifications (Preferred) AWS Certified DevOps Engineer - Professional AWS Certified Solutions Architect Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD) Terraform Associate Certification Azure DevOps Engineer Expert (if Azure experience)

Role & responsibilities Prepare a variety of discrete credit process inputs, perform preliminary analyses to identify trends in data, and apply reasoning to the completed work product. Perform financial statement analysis using accounting and finance principles to read and understand financial statements and other disclosures related to debt issuers performance. Apply Moodys relevant methodology standards and requirements to financial data and make appropriate adjustments. Create a variety of standard initial work package items that serve as a starting point for the ratings and research process, including data, spreadsheets, charts, and tables. Update financial spreadsheets, charts, and tables. Identify trends in data and apply reasoning to work being completed. Initiate/escalate deeper reviews when necessary. Prepare presentation materials for outreach activities. Provide support for RRS and R&R in monitoring/surveillance of Moody’s rated issuers. Support monitoring of analyst credit portfolios through news and industry source tracking and highlight key issues requiring further analysis. Understand the application of accounting concepts on a particular entity. Create documentation and provide guidance to support analysts and outsourcers. Review, adjust, and publish data to external market participants. Support the credit administration process and perform other routine administrative and ad hoc tasks, as directed by RRS & R&R Teams. About the team : Our Research and Ratings Support team is responsible for providing a range of data and analytic services that contribute to the overall credit analysis functions performed by the MIS analytic teams. By joining our team, you will be part of exciting work in enhancing Moody's digital presence and improving customer engagement. Preferred candidate profile Solid accounting background with a strong focus on financial analysis. Strong organizational skills and attention to detail. Ability to work effectively in a team environment with matrix reporting. Proficiency in MS Excel, Word, and PowerPoint. Excellent verbal, written communication, and interpersonal skills. Ability to adapt to a changing environment and prioritize tasks accordingly. Education: Postgraduate degree in Accounting, Finance, Economics from a premium institution. CFA/FRM certification (preferred).

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. 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. Job Description Job Title – Data Operations Assoc 2-MAI Entity - Moody’s Analytics (India) Private Limited Line of Business/Department – LOB - Data Estate; Department: Data - Credit & Financials Location – Bangalore & Gurgaon Full Time / Part Time – Full Time Reporting to – Team Manager Skills and Competencies - Experience of 0-1 year in Financial Statements Spreading, Financial Data Analysis and Interpretation of Insurance/Bank/Corporates Strong understanding of financial statements, including balance sheets, income statements, cash flow statements, and financial ratios is essential. Attention to detail and analytical ability; problem-solving skills and commitment to producing high quality work Fluent in English, with strong written and verbal communication skills. Proficiency in Microsoft Office, particularly advanced skills in Microsoft Excel. Added advantage for PowerBI. Education - MBA in Finance, Accounting, Economics, or Business disciplines from top-tier colleges/institutes, or a master’s degree in commerce from reputed universities. Responsibilities - The applicant will be responsible for Spreading / Quality Control (spot-checking) of financial statements of Corporates/Insurance & Banking entities across various industries, countries, accounting standards and reporting formats. This role involves analysing and spreading financial statements (Income Statement, Balance Sheet, Cash Flow) Analyse financial statements, notes, and other descriptive information; extract the financial data, and input it into financial models/spreading tools across various industries; spot check the data Statement Spreading involves capturing the financial data from the Income Statement, Balance Sheet, Cash Flow Statement, supplementary schedules and notes; refer detailed breakups and adjustments from the public/private companies’ statements issued under different account standards and reporting format, such as: US GAAP, IFRS 4/ IFRS 17, IFRS 9 or other local accounting standards Reporting formats such as 10-K, 10-Q, SEC filings, and other formats applicable in different countries Source the financial statements for spreading from public domains like company websites, stock exchanges, and commercial registers as soon as they are released. About The Team Our Data - Credit & Financials team is responsible for Spreading of Financial Statement. 1. Enhancing Analytical Excellence; 2. Driving Innovation and Efficiency; 3. Enhancing Customer Experience 4. Supporting Strategic Decision-Making By joining our team, you will be part of exciting work in 1. Analysing Global Financial Statements; 2. Supporting High-Quality Financial Data; 3. Working with Real-World Financial Reports 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.

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. 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. Job Title – Data Operations Assoc 2-MAI Entity - Moody’s Analytics (India) Private Limited Line of Business/Department – LOB - Data Estate; Department: Data - Credit & Financials Location – Bangalore & Gurgaon Full Time / Part Time – Full Time Reporting to – Team Manager Skills and Competencies - Relevant experience of 2 years in Financial Statements Spreading, Financial Data Analysis and Interpretation of Insurance/Bank/Corporates Strong understanding of financial statements, including balance sheets, income statements, cash flow statements, and financial ratios is essential. Attention to detail and analytical ability; problem-solving skills and commitment to producing high quality work Fluent in English, with strong written and verbal communication skills. Proficiency in Microsoft Office, particularly advanced skills in Microsoft Excel. Added advantage for PowerBI. Education - MBA in Finance, Accounting, Economics, or Business disciplines from top-tier colleges/institutes, or a master’s degree in commerce from reputed universities. Responsibilities - The applicant will be responsible for Spreading / Quality Control (spot-checking) of financial statements of Corporates/Insurance & Banking entities across various industries, countries, accounting standards and reporting formats. This role involves analysing and spreading financial statements (Income Statement, Balance Sheet, Cash Flow) Analyse financial statements, notes, and other descriptive information; extract the financial data, and input it into financial models/spreading tools across various industries; spot check the data Statement Spreading involves capturing the financial data from the Income Statement, Balance Sheet, Cash Flow Statement, supplementary schedules and notes; refer detailed breakups and adjustments from the public/private companies’ statements issued under different account standards and reporting format, such as: US GAAP, IFRS 4/ IFRS 17, IFRS 9 or other local accounting standards Reporting formats such as 10-K, 10-Q, SEC filings, and other formats applicable in different countries Source the financial statements for spreading from public domains like company websites, stock exchanges, and commercial registers as soon as they are released. About The Team Our Data - Credit & Financials team is responsible for Spreading of Financial Statement. 1. Enhancing Analytical Excellence; 2. Driving Innovation and Efficiency; 3. Enhancing Customer Experience 4. Supporting Strategic Decision-Making) By joining our team, you will be part of exciting work in 1. Analysing Global Financial Statements; 2. Supporting High-Quality Financial Data; 3. Working with Real-World Financial Reports 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.

Skills and Competencies Strong knowledge of using Moodys RMS Models is required with relevant 6 years of experience. Strong analytical and problem-solving abilities. Strong database and data mining skills - Good knowledge of Excel, Access, and SQL is required. Excellent written and verbal communication. Collaborative and stakeholder management R, VBA, Power BI and Python knowledge is preferred. Education B.E / B. Tech (preferably Civil/Mechanical Engineering) from IIT/NIT or other reputed universities OR MBA Finance/Insurance/Operations Research or master’s in mathematics/ Statistics/Operations Research/Economics from top-tier universities. Responsibilities As the Assistant Director of Risk Management, you will lead client-facing risk analytics initiatives, overseeing activities such as requirement scoping, report design, data preparation, modeling, and result presentation. Prior experience in leading a risk analytics team—either in full or in part—is highly advantageous. The role requires outstanding communication and presentation skills, along with the ability to navigate and collaborate within a global, matrixed organization. As a technical expert, you will be expected to demonstrate strong problem-solving abilities and take an active role in mentoring team members to strengthen both their technical expertise and business understanding. Exhibit in-depth knowledge of Moody’s RMS models (model methodology, schema) Hands-on end-to-end account modeller and can perform Portfolio/ Cedant analysis, understanding exposure preparation and enrichment is a big plus Provide high quality exposure and loss analysis, build relevant insights to enable swift business decisions at the client-end. Assess input data quality and highlight potential improvements to client along with impact of data fallacy/inadequacies. Document all aspects of a project, particularly focusing on the rationale for decisions and exceptions. Drive process improvements which increase utility or efficiency of analysis. Own project compliance by ensuring processes, guidelines and SOPs is followed Manage client escalations, minimize potential issues Ensure continual improvement through efficiency improvement through process reengineering or automation ideas Manage high performing assets, groom process champions Support client onboarding from Transition to “Business-As-Usual” phase by collaborating with other RMS teams. Interface with Moody’s RMS client development and other technical teams on client engagements. Support vertical head and new opportunities team for developing new service lines. About the team Our Analytical Services team is dedicated to providing clients with advanced catastrophe insights and deliverables, leveraging Moody’s RMS models and programming tools. Our department Analytical service aligns with Moody’s Insurance segment object to grow by providing high quality deliverables and insights to the clients. By joining our team, you will be part of exciting work in Insurance domain specifically to the catastrophe modeling located in Noida, India.

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. 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. Job Title: Software Engineer – Salesforce Location: Gurgaon, Haryana, India Department: Customer, Operations & Risk (COR), Moody’s Analytics Reporting Manager: Manav Vatsyayana Employment Type: Full-Time About The Role We are looking to bring on board a skilled and motivated Software Engineer to join our Production Support team within Moody’s Analytics. This role is critical to ensuring the stability, performance, and continuous improvement of our Salesforce platform and its integrations with enterprise systems. You will be part of a dynamic team that supports global users and collaborates closely with cross-functional stakeholders, vendors, and agile teams. If you are passionate about Salesforce technologies, thrive in high-availability environments, and enjoy solving complex problems, I’d love to hear from you. Key Responsibilities Provide daily production support for Salesforce applications, ensuring timely resolution of incidents and service requests. Lead and manage ticket inflow, task assignments, and daily reporting. Collaborate with L1 business leads to prioritize tasks and ensure alignment with business needs. Drive root cause analysis and resolution of integrated data issues across platforms. Oversee release management and operational support activities. Design and implement automation for build, release, and deployment processes. Support deployment of new features and configuration changes using DevOps tools. Communicate incident and request statuses to stakeholders, including senior leadership. Participate in project transitions, UAT, and knowledge transfer activities. Act as Duty Manager on a rotational basis, including weekends, for major incident management (if required). Participate in team meetings, document procedures, and ensure service level targets are met. Required Skills And Competencies Salesforce certifications: Administrator, Platform App Builder, and Platform Developer I. Apttus CPQ and FinancialForce certifications are a plus. Strong understanding of ITIL disciplines: Event, Incident, Request, Problem, Release, and Knowledge Management. Experience with data quality tools and techniques (e.g., SQL/SOQL for profiling, validation, cleansing). Proficiency in DevOps tools: GitHub and Jira or other similar tools like Bitbuket, AutoRabit, SVN, Aldon, TFS, Jenkins, Urban Code, Nolio and Puppet. Experience supporting Salesforce applications and ERP/data integration tools (e.g., SAP, MuleSoft, Informatica, IBM SPM). Strong analytical and problem-solving skills with attention to detail. Ability to manage competing priorities in a fast-paced, Agile environment. Excellent communication and interpersonal skills. Proficiency in reporting and analysis tools (e.g., Excel, PowerPoint). Familiarity with workload automation and monitoring tools such as BMC Remedy, Control-M, Tivoli, Nagios, and Splunk is advantageous. Education And Experience Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Minimum 4 years of experience in software development, DevOps, and production support, preferably within the financial services sector. About The Team You’ll be joining the Production Support Team under the Business Systems group in the Customer, Operations & Risk business unit. Our team supports Moody’s Analytics employees globally who rely on the Salesforce CRM platform. This is an exciting opportunity to work on cutting-edge Salesforce technologies and contribute to a high-impact support function. 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.

At Moody's, we unite the brightest minds to turn todays risks into tomorrows 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 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 Job Title Data Operations Assoc 2-MAI Entity Moodys Analytics (India) Private Limited Line of Business/Department LOB Data Estate; Department: Data Credit & Financials Location Bangalore & Gurgaon Full Time / Part Time Full Time Reporting to Team Manager Skills and Competencies - Relevant experience of 2 years in Financial Statements Spreading, Financial Data Analysis and Interpretation of Insurance/Bank/Corporates Strong understanding of financial statements, including balance sheets, income statements, cash flow statements, and financial ratios is essential Attention to detail and analytical ability; problem-solving skills and commitment to producing high quality work Fluent in English, with strong written and verbal communication skills Proficiency in Microsoft Office, particularly advanced skills in Microsoft Excel Added advantage for PowerBI Education - MBA in Finance, Accounting, Economics, or Business disciplines from top-tier colleges/institutes, or a masters degree in commerce from reputed universities Responsibilities - The applicant will be responsible for Spreading / Quality Control (spot-checking) of financial statements of Corporates/Insurance & Banking entities across various industries, countries, accounting standards and reporting formats This role involves analysing and spreading financial statements (Income Statement, Balance Sheet, Cash Flow) Analyse financial statements, notes, and other descriptive information; extract the financial data, and input it into financial models/spreading tools across various industries; spot check the data Statement Spreading involves capturing the financial data from the Income Statement, Balance Sheet, Cash Flow Statement, supplementary schedules and notes; refer detailed breakups and adjustments from the public/private companiesstatements issued under different account standards and reporting format, such as: US GAAP, IFRS 4/ IFRS 17, IFRS 9 or other local accounting standards Reporting formats such as 10-K, 10-Q, SEC filings, and other formats applicable in different countries Source the financial statements for spreading from public domains like company websites, stock exchanges, and commercial registers as soon as they are released About The Team Our Data Credit & Financials team is responsible for Spreading of Financial Statement 1 Enhancing Analytical Excellence; 2 Driving Innovation and Efficiency; 3 Enhancing Customer Experience 4 Supporting Strategic Decision-Making) By joining our team, you will be part of exciting work in 1 Analysing Global Financial Statements; 2 Supporting High-Quality Financial Data; 3 Working with Real-World Financial Reports Moodys 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 Moodys 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

At Moody's, we unite the brightest minds to turn todays risks into tomorrows 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 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 Job Description Job Title Asst Dir Strategist Entity Moodys Analytics Line of Business/Department Banking Location Bengaluru/Gurugram, India Full Time / Part Time Full Time Reporting to Director -Sr Strategist Skills And Competencies 8+ years of experience in pricing, strategy, customer analytics, or business intelligence roles, ideally in a technology-enabled data services or SaaS company Strong understanding of B2B enterprise customers, especially how a company like Moodys combining data, analytics, software, and AI creates value for its customers Familiarity with prevailing pricing models in the data and AI ecosystem, including subscription, usage-based, and performance-based models Proficiency in Power BI (desktop and premium service), DAX, SQL, Data models, CRM like SFDC, and MS Office; working knowledge of Python is a plus Strong analytical and problem-solving skills with the ability to synthesize large datasets into actionable insights Comfortable working independently in a fast-paced, matrixed environment and collaborating with senior stakeholders Education Bachelors degree in Finance, Computer Science, Economics, Engineering or a related field; MBA or postgraduate degree preferred Responsibilities The role spans pricing strategy, customer and market analytics, and managing multi-source data framework to support go-to-market strategy and commercial growth Develop pricing frameworks including product pricing curves, consumption-based models, tiered packaging, and value-based models Benchmark pricing approaches across the data and AI ecosystem?including subscription, per-user, usage-based, API-driven and performance-based models Evaluate pricing considerations such as usage metrics (e-g , token volume, concurrent queries), scalability constraints, SLAs, and value-added services Analyze customer behavior, adoption trends to support Product Led Growth (PLG) Conduct market sizing, competitive benchmarking, segmentation based on customer workflows, use cases Define and monitor performance metrics; prepare dashboards for senior leadership Design and manage scalable reporting infrastructure using Power BI or similar tools Build and maintain a multi-source data framework by integrating internal and external data sources to support decision-making Automate data collection, validation to ensure data integrity and streamline reporting About The Team The Banking Commercial Strategy team drives strategic growth across Moodys Banking solutions through deep customer and market analytics We deliver data-driven insights that inform pricing, packaging, and go-to-market strategies?helping shape Moodys long-term vision Our work is at the center of Moodys efforts to deliver differentiated value to our commercial banking clients By joining us, youll contribute to impactful initiatives in pricing innovation, market intelligence, and customer analytics?while collaborating closely with product, sales, finance, and corporate development Moodys 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 Moodys 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

About the Role We are looking to bring on board a skilled and motivated Software Engineer to join our Production Support team within Moodys Analytics. This role is critical to ensuring the stability, performance, and continuous improvement of our Salesforce platform and its integrations with enterprise systems. You will be part of a dynamic team that supports global users and collaborates closely with cross-functional stakeholders, vendors, and agile teams. If you are passionate about Salesforce technologies, thrive in high-availability environments, and enjoy solving complex problems, Id love to hear from you. Key Responsibilities Provide daily production support for Salesforce applications, ensuring timely resolution of incidents and service requests. Lead and manage ticket inflow, task assignments, and daily reporting. Collaborate with L1 business leads to prioritize tasks and ensure alignment with business needs. Drive root cause analysis and resolution of integrated data issues across platforms. Oversee release management and operational support activities. Design and implement automation for build, release, and deployment processes. Support deployment of new features and configuration changes using DevOps tools. Communicate incident and request statuses to stakeholders, including senior leadership. Participate in project transitions, UAT, and knowledge transfer activities. Act as Duty Manager on a rotational basis, including weekends, for major incident management (if required). Participate in team meetings, document procedures, and ensure service level targets are met. Required Skills and Competencies Salesforce certifications: Administrator , Platform App Builder , and Platform Developer I . Apttus CPQ and FinancialForce certifications are a plus. Strong understanding of ITIL disciplines: Event, Incident, Request, Problem, Release, and Knowledge Management. Experience with data quality tools and techniques (e.g., SQL/SOQL for profiling, validation, cleansing). Proficiency in DevOps tools: GitHub and Jira or other similar tools like Bitbuket, AutoRabit, SVN, Aldon, TFS, Jenkins, Urban Code, Nolio and Puppet. Experience supporting Salesforce applications and ERP/data integration tools (e.g., SAP, MuleSoft, Informatica, IBM SPM). Strong analytical and problem-solving skills with attention to detail. Ability to manage competing priorities in a fast-paced, Agile environment. Excellent communication and interpersonal skills. Proficiency in reporting and analysis tools (e.g., Excel, PowerPoint). Familiarity with workload automation and monitoring tools such as BMC Remedy, Control-M, Tivoli, Nagios, and Splunk is advantageous. Education and Experience Bachelors or Masters degree in Computer Science, Software Engineering, or a related field. Minimum 4 years of experience in software development, DevOps, and production support, preferably within the financial services sector. About the Team Youll be joining the Production Support Team under the Business Systems group in the Customer, Operations & Risk business unit. Our team supports Moody’s Analytics employees globally who rely on the Salesforce CRM platform. This is an exciting opportunity to work on cutting-edge Salesforce technologies and contribute to a high-impact support function.

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. 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. Job Description Job Title Associate Data Analyst Entity Moody’s Analytics Line of Business/Department COR Business Systems Location Gurugram Full Time / Part Time Full Time Reporting to Assc Dir Mgr-Data Analytics Skills And Competencies 3+ years of experience in Reporting Analytics, Information Systems, or Database Administration. Intermediate proficiency in SQL and Excel Strong English communication skills (verbal & written) Experience with business/system analysis and data modeling Familiarity with Excel, SalesForce, JIRA, GitHub, and SharePoint (preferred) Knowledge of Machine Learning concepts (preferred) Strong background in business process analysis, requirements, design, data modeling, prototyping, and detailed functional design. Strong organizational and interpersonal skills. Understanding and ability to apply Software Development Life Cycle practices and methodologies in a team collaboration environment. Education B.A. or B.S. degree required; 3+ years of experience in Reporting Analytics, Information Systems, or Database Administration Responsibilities Deliver accurate, timely, and consistent sales data, sales reporting, including closing monthly sales figures, performing impact analysis, and support Finance and External Reporting Stakeholders. Partner with IT to ensure data integrity and expand reporting capabilities Partner with Finance stakeholders to deliver on Big Rocks (top priorities) Partner with Data Management on Governance initiatives Lead projects and document changes to key reporting in line with SCRUM standards Document business requirements for reporting requests, provide training to business users, support cases (requests), lead reporting Proof of Concepts as needed Provide execution leadership to the Data Warehouse team by defining processes, guidelines, and establishing ownership and accountability Collaborate with IT project management to ensure delivery timelines are consistently met and the data and report quality meets the user expectations. Develop a deep understanding of reports and business strategy Engage and support stakeholders and team leaders with fast, high quality impact analysis and root cause analysis Maintain relationships with strong communication About The Team Our COR Business Systems team is responsible for delivering accurate and timely sales data and analytics. We contribute to Moody’s by: Supporting Finance and External Reporting with critical insights Driving data governance and reporting innovation Leading impactful analytics projects across the organization 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.

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. 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. Job Description Job Title - Data Analyst Entity - Moody’s Analytics - India Line of Business/Department - Customer, Operations & Risk (COR) – Business Systems Location - India - Remote Full Time Reporting to – Director of Data Analytics Skills and Competencies Demonstrated proficiency with SQL scripting/debugging, integration tools, and cloud warehouses - Required Ability to communicate complex concepts clearly and collaborate effectively with stakeholders - Required Ability to condense information into clear/tangible insights and story-tell with data - Required Proven ability to work independently and as part of a distributed team, taking direction from multiple team members - Required Knowledgeable in data modelling techniques - Required Experience in reporting-based software, such as Tableau, PowerBI, and Qlik - Preferred Education BS/BA/Advanced degree in Engineering, Computer Science, Business Analytics, Data Science or a related field Responsibilities This role will be a key contributor to our technology, infrastructure, and operations from automating manual operational tasks, creating robust data transformation workflows, to supporting self-service analysis. Model raw data into clean, tested, and reusable datasets. Transform data by removing, flagging, or filtering inaccurate, sensitive, or corrupted records; aggregating data items; and joining database tables. Establish data quality rules, requirements, and metrics to ensure accuracy and consistency. Build and maintain dashboards and visualizations, including: Individual analytics reports Operational dashboards Strategic dashboards (e.g., tracking KPIs or OKRs) Analytical dashboards (e.g., identifying trends) Forecasting tools Drive best practices for data handling, quality control, and change management across production reports and dashboards. Document data practices to promote a shared language and consistent definitions among analysts. Create reusable data assets that are ready for analysis. Partner with internal teams (e.g., Financial Planning & Analytics, Customer Success, Sales Performance & Analytics) to ensure high-quality user experiences and adoption of new reporting methods. Lead automation and modernization initiatives for reporting structures and data visualizations. Identify and implement process and workflow improvements using Generative/Agentic AI and other approved technologies. Understand business requirements and deliver clear, actionable insights that support customer-centric decision-making. Collaborate with internal stakeholders to standardize and enhance existing processes, improving operational efficiency and performance. About The Team The Customer, Operations & Risk (COR) team at Moody’s is a dynamic, cross-functional group that supports enterprise-wide systems, customer engagement, and risk management. COR encompasses several specialized functions including Customer Engagement, Business Systems, Business Integration & Operations, Risk, Sales Performance Management, and Learning & Development. The team plays a critical role in integrating acquisitions, modernizing operational platforms, and ensuring data quality and regulatory compliance across the organization. COR partners closely with business units to streamline the lead-to-cash lifecycle, enhance customer experience, and mitigate operational and data risks. This team is ideal for professionals who thrive in a collaborative, fast-paced environment and are passionate about driving operational excellence and strategic impact. 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.

Skills and Competencies Basic understanding of how data fits into methodologies Ability to read, understand and interpret financial metrics reported by rated entities Strong organizational skills and attention to detail Ability to work effectively in a collaborative team environment Intermediate Microsoft Excel skills Good written and verbal communication skills in English; good interpersonal skills Relevant experience of up to 0 -2 years in credit/financial data analysis and interpretation; experience in structured finance will be an added advantage Education Bachelors/master’s in finance, Business, Accounting or similar field CFA level 1 / CFA level 2 / CFA level 3 would be added advantage Responsibilities Support credit analysis through data and research services for structured finance ratings. Apply standards to existing data to produce inputs for rating and research processes Perform data intake tasks including scrubbing and validating data Review and understand financial reports and official statements Collaborate with analysts to understand data requirements and adjustments Perform calculations and apply judgment for data analysis Gather data from various sources and update relevant databases Complete deliverables such as newsletters, database maintenance, and ad-hoc support