Salary
≈ $19k – $41k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp
First seen by Alion on Aug 25, 2026.
Overview
Company
Impact
Profile match
Moody's provides credit ratings, risk analytics and economic research. Its analytics division sells software for credit assessment, compliance screening and climate risk. The firm is one of the principal global rating agencies.
Role : Sr. Cybersecurity Analyst - Analytics BI Reporting
Team : Cybersecurity Data Management
Location : Bengaluru
Skills and Competencies :
- 5-8 years of experience in business analysis, quality assurance, or a similar analyst role supporting data, reporting, cybersecurity, or information technology operations.
- Strong experience gathering, documenting, and prioritizing business and functional requirements for reporting, dashboard, or data platform initiatives.
- Experience designing and executing test plans to validate the accuracy, completeness, and correctness of reports, dashboards, and data products.
- Strong technical writing skills with experience creating data dictionaries, functional specifications, report definitions, and process documentation.
- Ability to interpret and validate data within business intelligence and reporting tools, including Splunk, Microsoft Fabric, Power BI, or similar platforms.
- Strong stakeholder management, communication, and facilitation skills with the ability to work effectively across technical and non-technical audiences.
- Familiarity with cybersecurity concepts, metrics, terminology, audit requirements, and compliance controls is preferred.
- 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 or equivalent qualification in Information Systems, Computer Science, Cybersecurity, Business Analytics, Engineering, or a related field.
- Relevant professional certifications in business analysis, data analytics, quality assurance, or cybersecurity are preferred.
Responsibilities :
- Serve as the primary liaison between stakeholders and engineering teams to ensure cybersecurity data products are accurate, valuable, and well documented.
- Gather, document, and prioritize requirements from cybersecurity, audit, compliance, and business stakeholders for reports, dashboards, and data products.
- Translate business, operational, and compliance requirements into clear functional specifications for engineering teams.
- Design and execute testing activities to validate report accuracy, metric calculations, data transformations, and business logic.
- Maintain detailed documentation including data dictionaries, report definitions, calculation methodologies, and data lineage artifacts.
- Partner with engineering teams to investigate, triage, and resolve data quality issues and reporting discrepancies.
- Facilitate stakeholder feedback sessions and manage enhancement requests, prioritization activities, and delivery communications.
- Support audit and compliance reviews by ensuring reporting documentation and governance records remain current and defensible.
- Identify reporting gaps, process inefficiencies, and opportunities to improve data quality, transparency, and stakeholder value.
About the Team :
- Our Cybersecurity Data Management team is responsible for delivering trusted cybersecurity data, reporting, and analytics that support operational decision-making, risk management, compliance, and executive oversight.
- By joining our team, you will work closely with data engineers, cybersecurity professionals, and business stakeholders to improve the quality, accessibility, and usability of critical security information.
- The team is focused on enabling data-driven outcomes through modern analytics platforms while embracing responsible and effective adoption of emerging technologies, including artificial intelligence, to enhance efficiency and innovation.
Skills
Cyber Security, Security, Security Analytics, Data Analytics, Business Intelligence, Reporting Analytics, Splunk, Power BI, Microsoft Fabric
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