Sr Cybersecurity Engineer - Analytics & BI Reporting

Moody's Investors Service; India; On-site; INR 1,500,000 - 4,000,000; Full time

Job summary

Moody's Investors Service is seeking a skilled data engineering professional to design and deliver cybersecurity reporting and analytics across the organization. You will build dashboards with Power BI and Fabric, model data from Splunk, and collaborate with security operations and leadership to translate complex data into actionable insights.

Responsibilities include developing pipelines, semantic models, and governance standards, while enabling self-service reporting for business users and

Qualifications

• 6-9 years of experience in data engineering, BI, reporting, or analytics with exposure to cybersecurity or IT operations data.
• Strong hands-on Power BI including data modeling, DAX, dashboard design, workspace administration and performance optimization.
• Hands-on Fabric experience including Lakehouse, Data Factory pipelines, OneLake, semantic models and enterprise reporting.
• Experience querying Splunk with SPL, dashboards and REST APIs.
• Strong SQL skills to design data models, transformations and scalable reporting.
• Ability to translate cybersecurity data into clear visualizations and executive reporting.
• Experience partnering with stakeholders to gather requirements and deliver reporting solutions.
• Proven proficiency with AI concepts and using AI tools to streamline workflows and manage AI risk ethically.

Responsibilities

• Design and deliver cybersecurity reporting and analytics solutions for stakeholders.
• Develop dashboards and visuals using Power BI and Fabric to communicate metrics and insights.
• Extract and model data from Splunk via SPL, APIs, and scheduled exports for analytics.
• Build and maintain data pipelines, semantic models, datasets, and reporting structures in Fabric.
• Collaborate with security ops, audit, compliance and leadership to gather requirements.
• Establish data models, DAX measures, and governance to ensure accuracy and scalability.
• Develop self-service reporting capabilities and reusable templates for business users.
• Monitor data quality, freshness, lineage and performance across environments.

Skills

Data engineering

Power BI

Fabric

Splunk SLT/SPL

SQL

AI concepts

Stakeholder collaboration

Education

Bachelor's degree in CS/IS/Cybersecurity/Data Analytics

Fabric/Power BI cloud certifications

Tools

Power BI

Microsoft Fabric

Splunk

Job description

Skills and Competencies

• 6-9 years of experience in data engineering, business intelligence, reporting, or analytics with exposure to cybersecurity or information technology operations data
• Strong hands-on experience with Microsoft Power BI including data modeling, DAX development, dashboard design, workspace administration, and report performance optimization
• Hands-on experience with Microsoft Fabric including Lakehouse, Data Factory pipelines, OneLake, semantic models, and enterprise reporting architectures
• Experience querying, extracting, and transforming data from Splunk using Search Processing Language, dashboards, and application programming interfaces
• Strong SQL skills with the ability to design data models, perform transformations, and deliver scalable reporting solutions
• Ability to translate complex cybersecurity data into clear, accurate, and audience-appropriate visualizations and executive reporting
• Experience partnering with technical and non-technical stakeholders to gather business requirements and deliver reporting solutions that drive decision-making
• 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 Computer Science, Information Systems, Cybersecurity, Data Analytics, Engineering, or a related field
• Microsoft Fabric, Power BI, or related cloud and data analytics certifications preferred

Responsibilities

Design and deliver cybersecurity reporting and analytics solutions that transform operational data into actionable insights for stakeholders across the organization.

• Design and develop dashboards, reports, and visualizations using Microsoft Power BI and Microsoft Fabric to communicate cybersecurity metrics, trends, and operational insights
• Extract, model, and prepare data from Splunk through Search Processing Language queries, application programming interfaces, and scheduled exports for analytics and reporting
• Build and maintain data pipelines, semantic models, datasets, and reporting structures within Microsoft Fabric environments
• Collaborate with security operations, detection engineering, audit, compliance, and leadership teams to gather requirements and deliver meaningful reporting solutions
• Establish and maintain data models, DAX measures, and governance standards that ensure reporting accuracy, consistency, and scalability
• Develop self-service reporting capabilities, reusable templates, and data assets that enable business users to independently explore cybersecurity data
• Monitor data quality, freshness, lineage, and performance across reporting environments while optimizing Power BI and Fabric workspaces and capacity
• Document data sources, reporting logic, visualization standards, and support ad hoc reporting requests related to audit and compliance activities

About the Team

Our Cybersecurity Data Management team is responsible for building, deploying, and operating the platforms and pipelines that collect, transform, route, and analyze event data across Moody's environment. The team supports security detection and response, audit, and compliance programs through scalable data solutions powered by Splunk Cloud, Cribl Cloud, AWS, and modern analytics technologies. By joining our team, you will contribute to the advancement of enterprise cybersecurity analytics while helping drive data-driven decision-making, operational excellence, and the responsible adoption of innovative technologies, including artificial intelligence.

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.