Data Risk/Metric Analyst

Data Risk/Metric Analyst

Requirements

• 2–3 years of experience in data risk, data governance, internal controls, or compliance analytics
• Knowledge of control design, risk identification, and regulatory compliance frameworks
• Experience with data governance tools, especially Collibra, for metadata and control reporting
• Familiarity with reporting tools such as Power BI, Tableau, Excel, or similar platforms
• Familiarity with control testing methodologies, audit processes, and risk documentation standards
• Excellent analytical, communication, and cross-functional collaboration skills
• Strong understanding and capable of effectively communicating the role of Data Governance to both business and technical communities within the sphere of data domain; possess broad knowledge of the domain data
• Understand key business drivers of those functions which enter, modify, manage, and consume the data within domain
• Understand all aspects of defining and implementing data quality management

Responsibilities

• Evaluate existing data governance standards to identify opportunities for new or enhanced controls.
• Define controls aligned with enterprise policies, regulatory expectations, and internal audit requirements.
• Assess end-to-end business and data processes to identify data risks and recommend appropriate control mechanisms.
• Ensure controls are documented in accordance with enterprise corporate control standards, including the rationale, objectives, frequency, ownership, and testing criteria.
• Review and incorporate updates from regulatory bodies, internal audit, and compliance functions into control requirements. Ensure all controls are aligned with enterprise standards for regulatory compliance and risk mitigation.
• Support the execution and testing of controls across data processes and platforms.
• Create and maintain detailed documentation of control procedures, testing evidence, results, and remediation actions.
• Define risk and control metrics, including thresholds, tolerances, and key performance indicators (KPIs). Establish appropriate frequency and timing for control monitoring and data quality checks.
• Gather and integrate data from governance tools such as Collibra to generate reports and dashboards.
• Develop ad hoc and recurring reports for the Data Governance Committee and senior leadership, highlighting key risks, control performance, and improvement opportunities.
• Participates in periodic reviews to ensure continued compliance with the data governance policies (includes compliance assessments, monitoring and control testing).
• Drive efficiency and risk mitigation through balancing business value and cost working with data owners, and consumers to deliver an efficient operating model and data architecture.

Preferred Qualifications

• Experience working in regulated industries (e.g., financial services)
• Working knowledge of frameworks such as BCBS 239, GDPR/CCPA, or SOX
• Exposure to enterprise risk management, issue remediation, or audit lifecycle
• Possess excellent verbal and written communication skills
• Possess proven facilitation and conflict resolution skills
• Possess exceptional analytical, conceptual and problem-solving abilities