Senior Analyst, IT Risk Analytics & Reporting (Global Security)

What is the opportunity?

As the Senior Analyst, IT Risk Analytics & Reporting, you work with data enhancement, and governance of enterprise technology risk metrics.

This role serves as a critical bridge between business stakeholders, technology partners—transforming complex business requirements into meaningful risk metrics, actionable insights, and scalable reporting solutions.

This is not a documentation role.

The ideal candidate explores data, challenges assumptions, and navigates ambiguity to uncover root causes and deliver practical solutions.

This position offers a unique opportunity to work at the intersection of risk management, data analytics, reporting, and business strategy while influencing stakeholders.

What will you do?

Risk Metrics & Reporting - Support the development, enhancement, and governance of enterprise technology risk metrics, KPIs, and KRIs

Data Modeling & SQL- Design and validate data models to support risk metrics and reporting objectives.

Write and optimize SQL queries to extract, transform, and validate large datasets

Perform data exploration to understand data structures, relationships, and anomalies, identify and reconcile data discrepancies across multiple systems

Troubleshoot data quality issues and document findings for resolution

Risk Metrics & Governance- Analyze metric methodologies, business rules, and reporting requirements, assess metric changes, impacts, and reporting implications

Manage metric lifecycle (intake, development, documentation, enhancement, retirement) in partnership with data owners

Translate complex business requirements into clear functional specifications and development-ready requirements

Define business rules, calculation logic, data requirements, and expected outputs

Investigate data, reporting, and metric issues through structured SQL analysis

Validate data accuracy against business requirements

Identify root causes of discrepancies and develop practical solutions

Build relationships across business, technology, data, and risk teams

Clarify requirements, assumptions, and expected outcomes with stakeholders

Present data-driven findings and recommendations in clear business language

Create Confluence-based visualizations and leadership reporting assets

Enhance and maintain reporting infrastructure

What do you need to succeed?

Must have:

3+ years working with SQL, data modeling, or data analytics

3+ years translating business requirements into technical solutions

Proficiency querying relational databases and understanding database architecture- Mongo DB experience is preferred

Experience troubleshooting data quality issues and reconciling data across systems

Demonstrated ability to analyze complex data and develop actionable recommendations

Advanced SQL: query optimization, data extraction, transformation, and validation

Data modeling: conceptual and logical design; understanding of relational/ non relational schemas

Strong Analytical reasoning and problem-solving mindset

Strong communication skills

Nice to have:

Experience in risk management or governance

Python or basic automation scripting