Audit Analytics Data Analyst

Audit Analytics Data Analyst

Requirements

• Minimum of a Bachelor of Science Degree in Management Information Systems (MIS), accounting, finance, business, or computer science is required.
• Minimum of two (2) years of data analytics experience. Additionally, a combination of education and work experience can be taken into consideration.
• Analytical design, data modeling, and problem-solving skills with a strong attention to detail.
• Experience in a data visualization tool such as Tableau (preferred), Power BI, or another related tools.
• Experience in data analysis and automation tools such as Alteryx (preferred), ACL, or Microsoft Fabric (preferred).
• Experience in a scripting language such as Python or R a plus.
• Understanding of relational databases and SQL queries to automate the data extraction from Microsoft SQL Server and Oracle Database servers.
• Must possess the following abilities or attributes: An analytical mind that can analyze effectively, Initiative (a self-starter) and be able to lead and perform with minimal supervision, Strong verbal and written communication skills, Quick learner able to grasp and process information quickly, Ability to multi-task, prioritize across multiple projects, and synthesize and summarize complex information, Communicate and present to varying areas and levels within the company, Must maintain confidentiality of all audit and investigative assignments, Read and interpret complex business and/or technical specification documents, Write reports and detailed business correspondence, Must work well in a global, multicultural environment and be able to effectively communicate across multifunctional teams, Able to positively contribute to the team culture, Mentor, teach, and grow others, Problem solver using a variety of concrete variables through semi-standardized solutions that require some ingenuity and analysis, Especially related to the munging and management of data.
• Working knowledge of Microsoft Excel, Word, and PowerPoint similar software related to presentations and analysis.
• Willingness to travel up to 15% of the time (both domestically and internationally).

Responsibilities

• Collaborate with global internal auditing team members to develop and maintain audit analytics dashboards, reports, and other analytical products using tools like Tableau and Power BI.
• Source, clean, wrangle, automate, analyze, and interpret diverse data sets from various sources using analysis tools and programming languages, including but not limited to Alteryx, Microsoft Fabric, ACL, SQL, and Python.
• Conduct in-depth quantitative analysis by processing, manipulating, and studying large datasets. Apply technical and statistical methods to generate key insights and support audit analytics processes.
• Participate to the development of predictive intelligence and machine learning algorithms.
• Fulfill ad-hoc data and analysis requests as required.
• Engage with stakeholders to understand their requirements and design procedures and implement analytics and automations accordingly.
• Present findings, recommendations, and results to managers, directors, and cross-functional stakeholders in engaging and impactful ways.
• Document analytical products, processes, and procedures thoroughly.
• Ensure data integrity and accuracy through rigorous data validation and quality checks.
• Stay updated on industry trends and best practices in data analysis.
• Perform other duties as assigned.

Preferred Qualifications

• Experience in a data visualization tool such as Tableau (preferred), Power BI, or another related tools.
• Experience in data analysis and automation tools such as Alteryx (preferred), ACL, or Microsoft Fabric (preferred).
• Experience in a scripting language such as Python or R a plus.