Data Analyst, Specialist

Malvern, PA, US • Posted 30+ days ago • Updated 10 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Data Analysis
  • Business Strategy
  • Decision-making
  • Mentorship
  • Partnership
  • Stakeholder Management
  • Project Management
  • Data Acquisition
  • Quality Assurance
  • Data Quality
  • Artificial Intelligence
  • Unstructured Data
  • Scalability
  • Visualization
  • Dashboard
  • Presentations
  • Continuous Improvement
  • Business Intelligence
  • Training
  • SQL
  • Python
  • Tableau
  • Amazon Web Services
  • Management
  • Analytics
  • Reporting
  • GitHub
  • Version Control
  • Analytical Skill
  • Predictive Modelling
  • Forecasting
  • Clustering
  • Machine Learning (ML)
  • A/B Testing
  • Finance
  • Collaboration

Summary

Job Description

Leads advanced data analysis initiatives to support business strategy and decision making. Translates complex business questions into structured analytical projects, delivers actionable insights, and partners closely with stakeholders to drive measurable outcomes. Provides technical guidance and mentorship to junior analysts and contributes to the development of scalable analytics best practices.
Leads advanced data analysis initiatives to support business strategy and decision making. Translates complex business questions into structured analytical projects, delivers actionable insights, and partners closely with stakeholders to drive measurable outcomes. Provides technical guidance and mentorship to junior analysts and contributes to the development of scalable analytics best practices.Core Responsibilities
  • Business Partnership, Stakeholder Management & Project Leadership: Collaborates with internal stakeholders to understand strategic objectives, business questions, priorities, and success metrics. Manages stakeholder expectations, aligns on scope and timelines, and communicates progress and risks effectively. Structures ambiguous requests into well defined analytical approaches and leads projects end to end, determine the appropriate strategy and technical approach to deliver the outcome.
  • Data Acquisition & Quality Assurance: Sources, integrates, and prepares structured and unstructured datasets from multiple systems. Evaluates data quality, accuracy, and completeness; identifies anomalies and ensures analytical readiness.
  • Advanced Analysis & Insight Generation: Analyzes historical data to identify trends, patterns, and key drivers using advanced analytical methods. If others are presenting a body of work, they should be able to provide feedback and serve as an interested and engaged collaborative member of the team.
  • AI Enabled Analytics & Data Curation: Leverages artificial intelligence based tools and techniques to curate, enrich, and analyze structured and unstructured data, improving analytical depth, scalability, and speed of insight generation.
  • Visualization & Storytelling: Develops clear, compelling visualizations, dashboards, and presentations that translate analytical findings into actionable recommendations for business partners.
  • Reporting & Process Ownership: Designs, owns, and maintains recurring analytics and reporting processes, ensuring reliability, efficiency, and continuous improvement.
  • Additional Contributions: Participates in special projects and performs additional responsibilities as assigned.
  • Serves as the analytics expert on cross-functional teams for large strategic initiatives.

Qualifications
  • Minimum of five years of related analytics, data, or business intelligence experience
  • Bachelor s degree or equivalent combination of education, training, and experience
  • Hands-on experience using SQL, Python, Tableau, and AWS to source, analyze, and communicate insights from data.
  • Success in this role requires strong collaboration skills and the ability to work effectively across cross functional teams, beyond direct analytics reporting relationships.
  • Demonstrated ability to learn new data domains quickly

Preferred skills

  • Familiarity with GitHub and version control practices (e.g., collaborating through pull requests, code reviews, and maintaining reproducible analytical work).
  • Experience applying advanced analytical techniques in a professional setting, such as predictive modeling, forecasting, clustering, or other statistical/ML methods.
  • Prior exposure to experimentation and measurement (A/B testing or quasi-experimental approaches)

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: zipfeed
  • Position Id: 6f7eaee23a6d6e90
  • Posted 30+ days ago
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