Sr. Data Analyst, Internal Audit SOX Analytics & Automation

About the position Vanguard’s Internal Audit & SOX (IAS) department has an exciting opportunity in our Automation and Analytics team. We’re looking for a tech-savvy, innovative individual who’s passionate about leveraging cutting-edge technologies to make a difference. This role is a crucial part of our forward-thinking, dynamic team and is key to delivering automated utilities and data analytics solutions that provide greater assurance to the organization, increase our stakeholder’s productivity, and deliver deeper insights into the operating effectiveness of our organization’s control environment - all of which ultimately support Vanguard’s purpose to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. You’ll collaborate with a diverse and talented team of centralized data analysts, decentralized data analysts, and our analytics infrastructure and solutions with the latest technologies. The ideal candidate will have a strong background in requirements gathering, technical communication, and data analytics, along with experience developing with Python, building data visualizations or process automation.

Responsibilities

• Requirements Gathering and Analysis: Work closely with stakeholders to gather, document, and analyze business requirements for data analytics and automation projects. This includes understanding business needs, translating them into technical requirements, designing process flows, and ensuring alignment with strategic objectives.
• Project Management and Stakeholder Communication: Manage project activities, timelines, and resources to ensure successful delivery of IT solutions. Coordinate with cross-functional teams, communicate progress and updates to stakeholders, and address any issues or risks that may arise during the project lifecycle.
• Develop Automation / Audit Tools: Leverage automation tools (e.g., Python scripts, SQL, MS Power App, etc.) to build automation for business stakeholders to increase efficiency.
• Report Visualization: Utilize data analytics tools and techniques to extract insights from business data. Generate reports, dashboards, and visualizations to communicate key metrics, trends, and performance indicators to stakeholders and management.
• Systems Integration and Solution Design: Collaborate with IT teams to design and implement integrated solutions that meet business requirements. This includes evaluating technology options, defining system architectures, and ensuring compatibility and scalability of solutions.
• Process Improvement and Optimization: Identify opportunities for process improvement through automation within internal audit. Analyze existing processes, map processes, design workflows, recommend enhancements or changes, and collaborate with teams to implement solutions that streamline operations and increase efficiency.
• Keep Up with Technology and Be Innovative: Present alternatives, make recommendations, and assist in technology implementation decisions. Monitor technology developments (e.g., GenAI); recommend and address trends and new technologies within the context of organizational strategies.

Requirements

• Knowledge and proficiency with the following tools & technologies: Python, SQL, data visualization & analysis tools (e.g., Tableau, PowerBI), Robotics Process Automation (RPA) concepts and tools, Artificial Intelligence/Machine Learning (AI/ML) concepts, infrastructure, and database platforms (e.g., Active Directory, AWS infrastructure, SQL Server)
• Communication with technical experts and non-technical business stakeholders is critical to the success of this role!
• Must have ability to understand complex processes and document process diagrams to share with stakeholders for meaningful discussion
• Ability to handle ambiguity and achieve success in a fast-paced, complex work environment
• Planning and organizational skills with ability to successfully execute and deliver concurrent priorities
• Minimum of 5 years related technical experience; some working knowledge of audit, risk, and controls
• Undergraduate degree in a related field or the equivalent combination of training and experience (e.g., MIS, Information Technology, Data Sciences, Data / Business Analytics)

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