Principal Data Analyst, Advanced Analytics – HyperPersonalization

Role Overview

• Conduct advanced analytics and statistical modeling on diverse business datasets to generate actionable insights
• Identify trends, patterns, and correlations within data to support informed decision-making across business functions
• Utilize machine learning techniques and sophisticated analytical methods to uncover trends and insights from structured and unstructured data sources
• Define data requirements, oversee data collection processes, and ensure the accuracy, consistency, and quality of the data
• Establish and enforce data quality standards, including the development of tools and methods to measure and enhance data integrity
• Design and implement automated systems for data collection, processing, and reporting to streamline workflows and improve business agility
• Engage with internal stakeholders to understand business strategies, objectives, and challenges, and translate these into actionable analytical projects
• Lead complex, cross-functional projects from concept to completion, offering strategic and tactical guidance to team members and ensuring alignment with organizational goals
• Serve as the analytics subject matter expert, providing insights and recommendations for enterprise-wide strategic initiatives
• Develop and present clear, impactful visualizations and reports that translate complex data insights into actionable recommendations for senior leadership
• Mentor and guide colleagues on best practices for data visualization, ensuring clarity and accessibility for a wide range of audiences
• Foster the growth of the analytics community at Vanguard by mentoring and coaching peers, while connecting them with training resources and development opportunities
• Stay informed about emerging trends in data science and analytics, sharing insights and presenting at analytics seminars to contribute to knowledge-sharing within the organization
• Own and manage recurring analytic and reporting processes, ensuring efficiency and accuracy in data delivery
• Identify opportunities to automate data-related workflows, driving operational efficiency and supporting business agility
• Contribute to special projects as needed and take on other tasks or duties as assigned

Requirements

• Minimum of 12 years corporate experience
• Minimum of 10 years related work experience in data analytics, management and modelling
• Proven Marketing & Distribution Analytics leader
• Ability to build strong relationships with senior business partners
• Exceptional data storytelling through visualization
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proficiency in programming languages such as Python, R, or SQL
• Experience with data visualization tools (e.g., Tableau, Power BI) and data analysis platforms
• Strong understanding of statistical modeling, machine learning, and advanced analytics techniques
• Ability to analyze large datasets, identify trends, and translate data into actionable insights
• Experience in data collection, cleaning, and quality assurance to ensure data accuracy and integrity
• Familiarity with data automation and process optimization
• Experience working in cross-functional teams and leading data-driven projects
• Familiarity with big data tools or platforms (e.g., Hadoop, Spark) is a plus
• Knowledge of emerging trends in data science and analytics is beneficial

Tech Stack

• Hadoop
• Python
• Spark
• SQL
• Tableau

Benefits

• Health insurance
• Professional development opportunities
• Flexible working hours