Data Visualization ampAnalytics Specialist

The IsDB Internal Audit Department (IAD) team is passionate about defining and executing IAD activities that drive technology solutions fit for highperforming internal audit functions implement data analytics (e.g. NLP ML RPA) and data visualization at scale; maintain an information technology systems environment consistent with the highest standards explore emerging technology or continuous process improvements that enhance IADs operations and advise IAD leadership on the information technology and digital transformation (cost/benefit investment decisions and use cases) to achieve IADs Strategy.

The Data Visualization and Analytics Expert is responsible for providing analytical support to Audit Specialists primarily in the execution of assurance and advisory services. He shall be experienced in Analytics Data Processing Modelling Cleansing and Data Mapping. He will provide advanced data analytics through the use of technology scripting development configuration of programs and integration of systems. Also contributes actively to the formulation of engagement strategies approaches and recommendations to improve efficiency effectiveness and internal controls.

The Data Visualization and Analytics Expert will collaborate with senior audit staff and leaders to create insightful reports and dashboards that enable the successful execution of IADs digital transformation strategy. You will also help shape the future of the Audit function by applying Science Technology and Innovation to develop programs and activities in Data Mining Process Mining Automation and Artificial Intelligence.

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 firstenvironment with robust data pipelines and fitforpurpose 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 IADs Computer Assisted Audit Tools Software (TeamMate ACL Celonis Signavio) Websites (SharePoint) and Dashboards (PowerBI).

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.

• Bachelors 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 datawarehousing 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 missiondriven 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 industryrecognized 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 highquality 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. Initiativetaker as well as a team player with a proven ability to collaborate effectively with colleagues from a range of technical and nontechnical roles to collaborate across organizational boundaries.

IT Skills

• Proficiency with data mining mathematics and statistical analysis
• Proficiency in applications for Analytics Dashboards Reports Data Warehousing Power Apps AI & BI.
• Experienced in Analytics Bulk data processing Modeling Cleansing and Data mapping.
• Experienced in Power BI MSBI SSIS/SSAS/SSRS Tableau Asp.Net Azure Celonis.
• Good knowledge related to databases (e.g. SQL Oracle Sybase Teradata etc.)
• Experience in SAP Datawarehouse (BI/BW).
• Knowledge of related programming languages (e.g. Python R SQL and SAS etc.).
• Experience with various models for Machine learning and Deep Learning.
• Experience in the use of Computer Assisted Audit Tools like ACL/Galvanize/Diligent Teammate etc. (Preferred).
• Proficiency in the use of standard software: Microsoft Windows and office adobe etc.

Other Competencies

• Strong organizational and analytical skills attention to details and ability to work independently and manage challenges.
• Ability to collaborate with teams as a constructive team member.
• Ability to share knowledge and develop strong working. relationships with colleagues and contribute to the creation of a positive team environment.
• Sound judgment fairness and discretion.
• Ability to develop rapport internally and externally in a multicultural environment.
• Good oral and written communication skills.