Internal Audit-Data Analytics, Data Engineer -New York-Vice President

Responsibilities

• Perform Database related activities – Data Modeling, Data Engineering, Data Governance, and maintenance of Entitlements.
• Obtain/Manage requirements that are tailored to each audit project and provide the results that can be used to provide insight to auditors in terms of sample selection, control gap identification, completeness of data sources, and data integrity (i.e., Data Blessing).
• Build production ready analytical tools to automate repeatable and reusable processes within IA using reporting tools such as Tableau, Spotfire or QlikView.
• Execute elected data analysis activities. Such activities may be defined as procedural or programmatic tasks related to the analysis, extraction, transformation, and uploading of data (structured and unstructured) (i.e., ETL processes).
• Perform Data analysis activities that may also be supplemented by summarized technical narratives describing the integrity of specific automated controls.
• Write data analysis code (e.g., Python, Java, or Slang).
• Identify areas for process standardization and implement automation techniques in applications used for audit process and Data Analytics.
• Execute on Embed DA - Data strategy developed by IA management within the context of audit responsibilities, such as risk assessment, audit planning, creation of reusable tools and providing innovative solutions to complex problems.
• Partner with audit teams to help identify risks associated with businesses and facilitate strategic data sourcing and develop innovative solutions to increase efficiency and effectiveness of audit testing.
• Build and manage relationships and communications with Audit team members

Qualifications

• 8+ years of experience with a minimum of bachelor’s in computer science, Math, or Statistics
• Strong experience in RDBMS/ SQL
• Exposure to ETL Processes, Data Engineering and Data Governance
• Experience in implementing Data Blessing/Data Quality measures and entitlement models
• Proficiency in programming languages, such as Python, Java, or C++
• Knowledge of basic statistics, including descriptive statistics, data distribution models, Time Series Analysis, correlation, and regression, and its application to data
• Strong team player with excellent communication skills (written and oral)
• Ability to communicate what is relevant and important in a clear and concise manner and ability to handle multiple tasks
• Contributing member of Data Science team and help build analytical capabilities for Internal Audit Division
• Driven and motivated and constantly taking initiative to improve performance