Sr Data Analyst - Digital Enablement

Job Type

Senior Data Analyst - Digital Enablement

The Senior Data Analyst supports the Internal Audit Division's evolution toward a modern, continuously enabled, and data-driven assurance function. This role is responsible for leading the design, piloting, and scaling of digital enablement initiatives that transform Internal Audit's risk assessment and assurance processes through automation, data analytics, and existing artificial intelligence tools.

Collaborate with the Risk Intelligence and Digital Enablement team for the redesign and modernization of Internal Audit risk assessment and assurance processes to enable continuous, data-informed decision-making. Identify, design, and execute pilot initiatives focused on automation, analytics, and AI that deliver short-term value and are scalable across the Auditing Division. Ensure that digital adoption efforts are aligned with existing enterprise frameworks and industry standards.

Support the transition from periodic, point-in-time risk assessments to ongoing risk-sensing models using KRIs, business data, and change indicators. Develop appropriate guidance and tools for the different audit teams to identify and assess feasibility of continuous auditing opportunities within the audit lifecycle. Design and implement continuous auditing routines and analytics that enhance risk coverage and enable earlier issue detection. Routinely collaborate with the data catalog owners to confirm data points and establish reporting schedules to serve continuous auditing solutions.

Design, build, and maintain Power BI dashboards, semantic models, and reporting views that enable risk insights, management reporting, and operational transparency. This includes ensuring that there is proper documentation (user guides and technical manuals) to ensure sustainable use of tools. Create and support Power Automate workflows for recurring processes (e.g., notifications, approvals, data refresh orchestration, list maintenance, and audit support routines).

Extract, validate, and prepare data from business intelligence and source platforms such as Cognos, SAS Enterprise, SAP, AWS Snowflake, or FIS BI portals, integrating outputs into analytics and reporting products. Build repeatable extraction routines and maintain data extraction catalog and refresh schedules aligned with the needs of the Risk Intelligence or RPGs. Partner with process owners to develop dashboards, automated workflows, and analytics-enabled audit procedures using tools such as Power BI, Power Query, Power Automate, and approved AI capabilities.

Actively manage and complete assigned data or technical service requests submitted in the JIRA platform within the agreed timeframe. Promote responsible use of available AI tools within Internal Audit by testing and refining prompts for internal processes in adherence with established Corporate Guidelines.

Contribute to the development of data and AI literacy across the Internal Audit Division through guidance, job-aids, and hands-on enablement. Develop and provide periodic training or awareness sessions to the audit teams. Support the creation of centralized repositories for analytics assets, automation solutions, and AI prompts aligned with Internal Audit use cases. Act as a trusted advisor to audit teams, helping translate digital capabilities into practical audit applications.

Collaborate with audit leadership to support strategic initiatives, including quarterly risk assessments, audit planning, and Audit Committee reporting. Partner with Risk Practice Groups and Second Line functions to ensure alignment of risk intelligence, coverage, and assurance activities. Provide thought leadership on emerging risks, digital trends, and evolving audit practices.

This position does not have direct supervisory responsibilities. However, the role may lead cross-functional initiatives and provide functional guidance to audit teams and project contributors.

• Bachelor’s degree from an accredited university required.
• Degree concentration in Business Administration, Computer Science, Information Systems, Industrial Engineering, Data Analytics, Statistics, or a related field preferred.

• Minimum 5+ years of progressive experience in data analytics, process improvement, automation, internal audit or digital enablement, preferably within financial services or a regulated environment.
• Demonstrated experience leading complex, cross-functional initiatives involving analytics, automation, or operating model redesign.

• Preferred: audit experience and experience extracting or working with enterprise data sources and BI tools (e.g., Cognos, SAS, SAP, FIS BI portals).

• Preferred:…