Senior Data Analyst

• Extracts, manipulates, visualizes, and analyzes accurate, relevant, timely, and cohesive analytics that support the audit lifecycle. 

• Analyzes data to determine if businesses are conducting operations in accordance with established policies/procedures, best practices, US GAAP, and governmental and legal requirements. 

• Applies analytical models (e.g., regression, simulation, statistical, etc.) to audit scope areas to identify outliers, trends and/or projections, where appropriate. 

• Uses data concepts, tools, and programming techniques including SQL programming, AWS Redshift SQL development, Oracle Business Intelligence, Teradata, Tableau, and/or comparable platforms (e.g., Alteryx, Python) to perform extract, transform, load (ETL) and data analysis activities.

• Develops process flows, prototypes, and requirements documentation to accelerate understanding between stakeholders and guide the development of solutions. 

• Facilitates discussions that lead to decision-making throughout the lifecycle of creating and enhancing a data solution. 

• Prepares clear and well-organized analysis workpapers, documenting root-cause (as applicable), work performed, findings, and recommendations. 

• Creates graphical reports and executive presentations to effectively summarize analysis and findings. 

• Discusses engagement objectives with other CGA team members and provides recommendations on potential data analytics to support the audit.   

• Assists with managing, scheduling, monitoring, and maintaining automated processes in production. 

• Delivers on project tasks and assists with the development of project plans and timelines. 

• Assists less experienced team members in understanding and executing data analytics and automation activities. 

• Identifies audit scope areas that can be automated or repeated through data analytics and works with leadership to schedule/implement. 

• Ensures all data is secure and follows company policies regarding data classification. 

• Identifies opportunities for improvement to team activities, tools, and training. 

• Supports department objectives and performs other duties and responsibilities, as assigned. 

How You Deliver 

• Demonstrates the ability to quickly grasp complex subject matter and apply strong analytical skills and business knowledge to assessing processes, risks, and controls. 

• Stays current on data analytics trends (e.g., new tools, statistical methods, visualization techniques) as well as emerging technologies that impact how data can be used on audits (e.g., AI, Blockchain). 

• Works with discretion regarding work details on assignments of a varied and difficult nature. 

• Utilizes creative thinking, individual initiative, and flexibility in prioritizing and completing tasks. 

• Exhibits willingness to tackle new areas and challenging topics. 

• Demonstrates the ability to work in a complex, dynamic, and fast-paced environment. 

• Acts in accordance with stated CGA and company policies and practices, and maintains the highest degree of integrity in all activities and interactions. 

• Displays regular, consistent, and punctual attendance. Able to work nights and weekends, variable schedule(s), as necessary. Out-of-town travel is required approximately 20%. 

How You Partner 

• Exhibits strong interpersonal skills including written and verbal communications, and an ability to collaborate with others. 

• Shows respect to other team members and clients in all interactions. 

• Demonstrates a willingness to assist other team members in areas outside of direct assignments, when necessary. 

• Collaborates in a virtual environment to complete projects with team members in various locations. 

• Educates audit team members on data analytics and automation techniques through daily interactions. 

How You Develop 

• Exhibits a commitment to continuously self-improve by working with leadership to leverage strengths and focus on areas of development. 

• Gains knowledge of IT controls and cyber security concepts, and applies to engagements 

  
Employees at all levels are expected to: