Data Visualization & Analytics Specialist

Audit Planning and Execution
Contributes to the planning and execution of complex audits and advisory services through advanced data analytics.
Develop continuous Audit Programs (including scripts and algorithms) based on the automation of the projects already done on data mining and process mining.
Participate in the preparation of the yearly Audit plan and collaborate with the audit team to plan and develop audit activities.
Contribute to Implementing the audit plan by conducting relevant audit procedures for the required audit engagement.

Data Management and Access
Facilitate access to relevant data warehouses.
Effectively coordinate the communication of data requirements to stakeholders in and outside of IAD for a Cloud first-environment, with robust data pipelines, and fit-for-purpose Artificial Intelligence models

Data Visualization and Reporting
Create data visualizations and analytical reports that promote understanding of key insights for a diverse range of audiences.

Process Mining and AI Implementation
Design, Implement, run, and maintain Process Mining programs or activities using Process Mining Software (e.g., Celonis Intelligent Business Cloud).
Introduce Artificial Intelligence adapted to Internal Audit in the Internal Audit Department by starting to adopt innovative technologies such as: Machine Learning, Deep Learning and Natural Languages Processing, and computer vision technologies.

Tools and Software Management
Manage and maintain IAD s Computer Assisted Audit Tools Software (Team Mate+, ACL, Celonis, Signavio), Websites (SharePoint), and Dashboards (Power-BI).

Knowledge Sharing and Capacity Building
Share knowledge to contribute to increasing the auditors' use of data analytics.

Reporting and Communication
Contribute to the preparation of a concise and informative audit report to effectively communicate the findings and recommendations to the relevant functions and senior management.

Relationship Management
Develop and maintain effective and professional working relationships with all levels of staff within the organization, including Senior Management and Audit Committee of the Board.

Special Assignments and Investigations
Assist in any special audit assignments or investigations mandated by the management.

Bachelor s degree in Information technology, data science, Big Data Engineer/Architect applied mathematics, economics, statistics, finance, or related field of study with a strong quantitative and computational background, preferably with advanced training. (Mandatory)
Professional Certification related to Data Science, Artificial Intelligence, Machine Learning, and Business Intelligence Development (Preferred)
Prior audit experience is preferred.
Minimum five years of experience, with at least two (2) years of relevant experience in data management and analysis. (Mandatory)
Experience with database systems and data-warehousing, paired with demonstrated knowledge of leading data science practices, e.g., data acquisition, exploration, pipeline management, cleaning and feature engineering, modeling, and communicating results. (Preferred)
Experience using algorithms (NLP and ML are key, deep learning is a bonus), and data analysis and visualization tools such as Python and Power BI, Azure Cognitive Services, and Power Automate platform. (Preferred)
Experience in finance, information technology, or related fields in financial institutions or large organizations. (Preferred)
Familiarity with development banking operations and risk management, or similarly complex mission-driven global organizations would be an asset. (Good to have)
Experience with microservices, DevOps, MLOps, UX, Design Thinking, and digital transformation. (Good to have)
Certification in Azure data science, data engineering, or similar industry-recognized credentials. (Good to have)
Analytical skills, ability to think strategically; rapidly analyze, interpret, and integrate data or innovative technology into actionable outcomes that communicate clear conclusions and recommendations.
Ability to simultaneously engage on multiple projects, anticipate and adjust to roadblocks, and deliver high-quality work with limited supervision.
English proficiency, excellent oral and written communication skills, and the capacity to present data visualizations that translate complex information into actionable intelligence.
Maintaining a continuous improvement mindset, embracing agility, and being open to change. Initiative-taker, as well as a team player with a proven ability to collaborate effectively with colleagues from a range of technical and non-technical roles to collaborate across organizational boundaries.