Principal Data Analyst (Advanced Analytics), HyperPersonalization

Role Summary The Data Analyst, Senior Specialist role analyzes complex datasets to provide actionable insights, optimize processes, and support decision-making. This role involves leading analytics projects, ensuring data quality, and collaborating with teams to deliver data-driven solutions. The position also includes mentoring peers and driving automation to enhance business efficiency. Responsibilities 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. Qualifications and Skills 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. Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. #J-18808-Ljbffr