Data Quality Analyst

Vanguard•Malvern, PA
•Hybrid

About The Position

Vanguard is seeking a senior-level data analyst to provide recommendations to senior management, develop innovative solutions, and apply technical expertise in data quality and analytics tools. The analyst will become an expert in critical data, contribute thought leadership to transformative decisions and initiatives, and build business acumen and relationships while consulting with stakeholders, partners, and external data vendors. The role focuses on improving data management processes and using evolving data management capabilities and analytics tools to create trusted data that supports AI-ready data and business intelligence solutions. The position serves as a subject matter expert on relevant data sets, storage systems, and operational processes. It leads process design, investigates complex data errors, recommends solutions, and coordinates changes to workflows and procedures. The analyst works with internal and external partners to define requirements, specify and execute data projects, validate deliverables, and prepare new solutions for operational implementation. Vanguard uses a hybrid working model for the majority of its crew members, combining flexibility with in-person learning, collaboration, and connection. Vanguard is not offering visa sponsorship for this position.

Requirements

  • Intermediate to advanced technical skills in SQL, Python, AWS, and Tableau.
  • Strong consultation, data storytelling, and stakeholder management skills.
  • Strong professional presence and experience presenting recommendations to senior management.
  • Strong data analysis and problem-solving skills.
  • Skill and interest in developing innovative solutions.
  • Expertise in Data Management and Data Quality best practices.
  • Minimum of five years of related work experience.
  • Undergraduate degree or an equivalent combination of training and experience.

Nice To Haves

  • Financial or investment data background.
  • Graduate degree.
  • MS Dynamics.

Responsibilities

  • Serve as a subject matter expert on data sets for a given industry, data storage systems, and the operational processes being supported; stay aware of changing business needs and develop appropriate project solutions.
  • Lead process design for new offerings, business initiatives, and improvement projects.
  • Perform root cause analyses of complex data errors; identify ways to prevent recurrence, prioritize initiatives, mitigate risk, leverage technology, and recommend short- and long-term solutions.
  • Improve Data Management's service offering and communicate with stakeholders and management to obtain input and buy-in.
  • Recommend, coordinate, document, and implement changes to enhance workflows and procedures; integrate technologies into workflows, communicate changes to team members, analyze impacts, and prepare the environment for change.
  • Build and maintain relationships with internal and external partners to define data requirements, develop project specifications, and execute data projects that deliver expected outputs.
  • Validate and approve project deliverables.
  • Identify solutions with internal and external partners, vendors, and industry contacts to support best-in-class data management practices, scalability, and cost effectiveness.
  • Lead and consult on new projects to ensure operational readiness when they are implemented in the live environment.
  • Participate in special projects and perform other duties as assigned.
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