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Data Analyst, Specialist
VanguardData Analyst, Specialist role at Vanguard working on data products and analytics solutions for compliance and risk teams. Leveraging SQL, Python, and AWS to enhance data access and reporting.
Posted 6/29/2026full-timeCharlotte • Arizona, North Carolina • 🇺🇸 United StatesMid-LevelSeniorWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in SQL and Python for developing analytical solutions and automating data processes, with a strong focus on data accuracy and quality. Capable of translating business requirements into scalable analytical solutions while effectively communicating insights to diverse audiences.
Highest-signal resume keywords
SQL QueryingPython DevelopmentData AnalysisAWS Data EnvironmentsDashboard Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonData PreparationData ValidationData AutomationAnalytical SolutionsData TransformationData MonitoringData VisualizationComplex Dataset Management
Soft Skills
Analytical SkillsProblem-SolvingCommunication SkillsCuriosityLearning Agility
Tools & Technologies
AWS
Industry Keywords
Self-Service ReportingAnalyticsComplianceRisk ManagementTechnical Solutions
Tech Stack
Tools & technologiesAWSPythonSQL
About the role
Key responsibilities & impact- Build and support data products that enable self-service reporting and analytics.
- Develop SQL- and Python-based solutions to automate data preparation, reporting, and monitoring processes.
- Analyze and validate data from multiple sources to ensure accuracy, quality, and reliability.
- Partner with Compliance, Risk, Legal, and Technology stakeholders to understand business needs and translate requirements into scalable analytical solutions.
- Design and enhance dashboards, visualizations, and lightweight applications that improve access to trusted data and insights.
- Work within AWS-based data environments to acquire, transform, and analyze data.
- Communicate findings, recommendations, and technical concepts effectively to both technical and non-technical audiences.
Requirements
What you’ll need- Bachelor's degree or equivalent combination of training and experience.
- Experience using SQL to query, analyze, and transform data.
- Experience developing analytical solutions using Python.
- Strong analytical and problem-solving capabilities.
- Experience working with large and complex datasets.
- Ability to translate business requirements into technical solutions.
- Strong written and verbal communication skills.
- Demonstrated curiosity and ability to learn new technologies quickly.
Benefits
Comp & perks- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
- Employee training programs