Vanguard
DataAnalyst,Specialist
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Analyst, Specialist at Vanguard. Skills: Data analysis, Data visualization, Business intelligence, Marketing analytics. Acquire and compile data. Verify data quality”
What You'll Achieve.
Value-creating impact
Industry & Context.
Discovery analysis; Analytical methods; Actionable analysis
What They're Looking For.
Must Have
Over five years in analytics, Bachelor's degree, Proficiency in SQL, Proficiency in Tableau, Proficiency in Python, Proficiency in PySpark, Proficiency in cloud platforms, Proficiency in AWS, Proficiency in Snowflake, skills in communication, skills in presentation development, skills in stakeholder engagement, Experience with marketing principles, Experience with marketing strategies
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Acquire and compile data
Verify data reasonableness
Perform analyses of historical data
Surface trends and insights
Validate analytical techniques
Develop expertise in subject areas
Prepare visualizations
Deliver visualizations
Translate analytic insights
Develop reporting processes
Own reporting processes
Manage reporting processes
Engage with internal partners
Understand business strategy
Understand business questions
Understand business goals
Bring structure to business requests
Translate requirements into analytical approach
Lead projects through completion
Provide tactical guidance
Provide strategic guidance
Identify opportunities within business
Contribute to business growth
Contribute to business success
Participate in special projects
Foster a culture of learning
Foster a culture of innovation
Expand knowledge of business
Expand knowledge of analytics
Document best practices
Serve as subject matter expert
Partner with Marketing teams
Partner with CXD teams
Partner with Engineering teams
Partner with Finance teams
Deliver integrated insights
Participate in cross-divisional projects
Resolve operational challenges
How You'll Work.
Team & Collaboration
Marketing partners; Analytics partners; Cross-functional teams; Marketing teams; CXD teams; Engineering teams; Finance teams; Cross-divisional data projects
Communication Scope
Presentation development; Stakeholder engagement
Process & Methodology
Project management, Lead projects
Full Job Description
The Advice and Wealth Management (AWM) Analytics team is seeking an analyst to play an important role supporting the Personal Wealth Marketing team and enabling growth through data-driven strategy. Our work includes data preparation and transformation, discovery analysis, experimental design, campaign measurement, dashboard development, and strategic recommendations sourced from the data. The role involves collaboration with marketing and analytics partners and working closely with cross-functional teams and initiatives. We are looking for someone who excels at connecting business questions and marketing decisions to clear, actionable analysis with value-creating impact. **Data Management and Analysis** * Acquire and compile structured and unstructured data, verifying its quality, accuracy, and reasonableness. * Perform analyses of historical data to surface trends and insights using advanced analytical methods. * Validate analytical techniques employed by other analysts. * Develop expertise in key subject areas (e.g., audience targeting, client journey, marketing channel usage, and marketing content). **Reporting and Visualization** * Prepare and deliver visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement. * Develop, own, and manage recurring analytic or reporting processes. **Project Management and Strategy** * Engage with internal partners to understand business strategy, questions, and goals. * Bring structure to business requests, translate requirements into an analytical project approach, and lead projects through completion. * Delegate tasks and provide tactical and strategic guidance to peers. * Proactively identify opportunities within the business to contribute to its growth and success. * Participate in special projects and perform other duties as assigned. **Mentorship and Knowledge Sharing** * Foster a culture of continuous learning and innovation in analytics
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