Sr. Data Analytics Engineer - Internal Audit

Vanguard Group, Inc.

$110K — $130K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Minimum 5 years of related technical experience, preferably in data engineering and analytics.
  • Undergraduate degree in MIS, IT, Data Sciences, or similar field; equivalent experience considered.
  • Proficiency in Python and SQL, with hands-on experience in data engineering tools.
  • Familiarity with cloud platforms (especially AWS) and database systems like SQL Server.
  • Strong technical communication skills to engage both technical and non-technical stakeholders.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and knowledge of RPA or AI/ML concepts.

Responsibilities

  • Design, build, and maintain scalable data pipelines and ETL processes.
  • Partner with stakeholders to gather requirements and translate them into technical specifications.
  • Develop and deploy automation tools and scripts to improve efficiency.
  • Support development of reporting interfaces using Streamlit and AWS.
  • Collaborate with IT to implement integrated solutions across platforms.
  • Identify and implement process improvements through automation and data insights.
  • Stay current with emerging technologies and recommend innovative solutions.

Benefits

  • Opportunity to work with cutting-edge technologies and innovative solutions.
  • Collaborative and diverse team environment.
  • Hybrid work model, allowing flexibility with in-office attendance required.
  • Focus on professional growth and development within the organization.
  • Engagement in impactful projects that enhance operational effectiveness.
Full Job 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 inPython,SQL, and data engineering tools and frameworks.
  • Experience withdata visualization platforms(e.g., Tableau, Power BI),cloud infrastructure(e.g., AWS), anddatabase systems(e.g., SQL Server).
  • Familiarity withRPA,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 factor:

  • This is a hybrid role - candidates must be commutable to Vanguard's Malvern, PA office.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

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