Senior Data Analytics Lead - Hyper-Personalization & ML

Vanguard; Malvern (Chester County); On-site; USD 100,000 - 130,000; Full time

Job summary

Vanguard is seeking a Senior Data Analyst to lead analytics projects within the HyperPersonalization Analytics team. This role focuses on delivering insights and AI/ML solutions to optimize processes and improve business strategies. The ideal candidate will have extensive experience in data analytics, statistical modeling, and mentoring peers, along with excellent data visualization skills.

Join us at Vanguard where you will drive automation, enhance business efficiency, and contribute to data-driven decision-making within our organization.

Qualifications

• 12+ years corporate experience.
• 10+ years of data analytics, management, and modeling experience.
• Experience in data collection, cleaning, and quality assurance.
• Proven marketing and distribution analytics leader.

Responsibilities

• Conduct advanced analytics and statistical modeling on diverse datasets.
• Identify trends, patterns, and correlations within data.
• Utilize machine learning techniques to uncover insights.
• Lead complex, cross-functional projects.
• Develop and present clear visualizations and reports.

Skills

Data storytelling

Statistical modeling

Machine learning

Programming languages (Python, R, SQL)

Data visualization (Tableau, Power BI)

Education

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Tools

Tableau

Power BI

Hadoop

Spark

Job description

Vanguard is seeking a Senior Data Analyst to lead analytics projects within the HyperPersonalization Analytics team. This role focuses on delivering insights and AI/ML solutions to optimize processes and improve business strategies. The ideal candidate will have extensive experience in data analytics, statistical modeling, and mentoring peers, along with excellent data visualization skills.

Join us at Vanguard where you will drive automation, enhance business efficiency, and contribute to data-driven decision-making within our organization.