Senior Analyst Internal Audit Data Analytics
About the position Responsibilities • Develop and implement audit analytics solutions, with a main focus on Tableau dashboard development, interactive visualizations, and business intelligence reporting. • Build, customize, and publish advanced Tableau dashboards, incorporating sophisticated calculations, parameters, sets, LOD expressions, and dashboard actions for optimal data-driven insights. • Support the end-to-end audit analytics process, including data collection, cleaning, preparation, and productization of analytics models for reporting in Tableau. • Apply predictive and generative AI models in audit analytics and integrate insights into Tableau dashboards. • Optimize Tableau performance, ensuring scalability and efficiency in handling large datasets. • Complete data acquisition, transformation, and ETL processes using SQL, Python, Snowflake, Apache Airflow, and REST APIs. • Work with Salesforce CRM, Data Cloud, Mulesoft, and AWS Sagemaker ML Platform to enhance audit analytics capabilities. • Collaborate with business partners across the organization to ensure audit analytics objectives are met. • Conduct code reviews, analytics development, and quality assurance to ensure data integrity and visualization accuracy. • Work with multi-functional teams to deliver high-quality Tableau solutions and audit analytics on time. • Address emerging challenges, adapt to evolving requirements, and maintain project momentum. • Communicate project requirements and results optimally to both technical and non-technical partners, ensuring clear understanding and actionable insights. Requirements • Bachelor's degree in a quantitative field such as Engineering, Data Science, Computer Science, Mathematics, Statistics, or Operations Research. • 4+ years of experience in risk, audit data analytics, or a related field, with at least 2 years in a senior capacity within a technology-driven environment. • 3+ years of hands-on experience with Tableau dashboard development, including data visualization standard methodologies, calculated fields, LOD expressions, parameters, actions, and performance optimization. • 2+ years of SQL experience for data manipulation and preparation for Tableau reporting. • Experience in data acquisition, preparation, and analytics development, with hands-on expertise in Salesforce CRM, Data Cloud, Mulesoft, Snowflake, SQL-based ETL tools, Apache Airflow, and REST APIs. • Experience with predictive and generative AI methodologies and their application in audit analytics using Agentforce, AWS Sagemaker ML Platform, Python, and Jupyter Notebooks. • Familiarity with cloud-based analytics platforms, including AWS, GCP, and their integration with audit analytics. • Excellent problem-solving, analytical, and project management skills, with the ability to manage multiple projects simultaneously and deliver high-quality results under tight time lines. • A team player with good communication skills, able to present complex technical concepts in a clear and actionable manner to both technical and non-technical partners. Apply tot his job Apply tot his job