Sr. Analytics Engineer, Internal Audit SOX at Vanguard

Chesterbrook, Pennsylvania, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Mar, 26

Salary

0.0

Posted On

07 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Data Engineering, Automation Development, Data Visualization, Cloud Platforms, ETL Processes, Data Quality, Technical Communication, Process Optimization, System Integration, Emerging Technologies, RPA, AI/ML, Streamlit, AWS, SQL Server

Industry

Financial Services

Description

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 building scalable data solutions and engineering robust analytics infrastructure. This role is a crucial part of our forward-thinking, dynamic team and is key to delivering automated utilities and data pipelines that provide greater assurance to the organization, increase stakeholder productivity, and deliver deeper insights into the operating effectiveness of our 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 and decentralized data analysts, and work closely with our analytics infrastructure and solutions using the latest technologies. The ideal candidate will have a strong background in data engineering, technical communication, and automation development, with hands-on experience in System frontend development, Streamlit, cloud platforms, Python, and data pipeline design. Responsibilities Data Engineering & Pipeline Development: Design, build, and maintain scalable data pipelines and ETL processes to support analytics and automation initiatives. Ensure data quality, integrity, and performance across systems. Requirements Gathering and Technical Design: Partner with stakeholders to translate business needs into technical specifications. Design data models, process flows, and system integrations aligned with strategic objectives. Automation Development: Develop and deploy automation tools and scripts (e.g., Python, SQL, Power Apps) to streamline audit and business processes, improve efficiency, and reduce manual effort. Data Visualization: Support the development of reporting front-end interfaces using tools such as Streamlit, hosted on AWS infrastructure. Collaborate with analytics and audit teams to design user-friendly applications that deliver insights and enable interaction with automated utilities and data pipelines. Infrastructure & Systems Integration: Collaborate with IT and analytics teams to implement integrated solutions using cloud platforms (e.g., AWS), databases (e.g., SQL Server), and identity systems (e.g., Active Directory). Process Optimization: Identify and implement opportunities for process improvement through automation and data-driven insights within internal audit workflows. Innovation & Technology Adoption: Stay current with emerging technologies (e.g., GenAI, RPA, AI/ML) and recommend innovative solutions that align with organizational strategies. What It Takes Proficiency in Python, SQL, and data engineering tools and frameworks. Experience with data visualization platforms (e.g., Tableau, Power BI), cloud infrastructure (e.g., AWS), and database systems (e.g., SQL Server). Familiarity with RPA, AI/ML concepts, and modern data architecture. Strong communication skills to bridge technical and non-technical stakeholders. Ability to thrive in a fast-paced, ambiguous environment and manage multiple priorities. Strong planning and organizational skills with a focus on execution and delivery. Qualifications: 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) Special factors (internal and external posting): Vanguard is not offering visa sponsorship for this position. Hybrid position requiring proximity to Chesterbrook, PA office. Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About Vanguard At Vanguard, we don't just have a mission—we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience. Vanguard, one of the world's largest investment management companies, serves individual investors, institutions, employer-sponsored retirement plans, and financial professionals. We have a diverse and talented crew with a culture that promotes teamwork, along with an unwavering focus on serving our clients' best interests. This website uses "cookies" to distinguish you from other users. A cookie is a small file of letters and numbers placed on your computer or device. This helps us to provide you with a good experience when you browse our website and also allows us to improve our site and services. The cookies are stored locally on your computer or mobile device. To accept cookies you can continue browsing as normal. Or you can go to our Privacy Policy to read more information and learn how to change your preferences.

Responsibilities

The role involves designing, building, and maintaining scalable data pipelines and ETL processes to support analytics and automation initiatives. Additionally, the candidate will develop automation tools and collaborate with teams to create user-friendly applications that deliver insights.