Principal Data Analyst (Advanced Analytics), HyperPersonalization

Reposted 8 Days Ago
Be an Early Applicant
2 Locations
In-Office
Expert/Leader
Fintech
The Role
The role involves analyzing complex datasets to provide insights, leading analytics projects, ensuring data quality, and mentoring peers. It requires expertise in advanced analytics, machine learning, and data visualization, driving automation for efficiency.
Summary Generated by Built In

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.

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.

Skills Required

  • 12 years corporate experience
  • 10 years related work experience in data analytics
  • 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)
  • Strong understanding of statistical modeling, machine learning, and advanced analytics techniques
  • Ability to analyze large datasets, identify trends, and translate data into actionable insights

Vanguard Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanguard and has not been reviewed or approved by Vanguard.

  • Retirement Support Retirement support appears unusually strong through a 401(k) design that includes a match plus an additional employer contribution, which can materially lift long-term total rewards. HSA seeding and an enhanced employer match further strengthen the savings-and-benefits value of the package.
  • Wellbeing & Lifestyle Benefits Wellbeing and lifestyle support is reinforced by a sizable annual FlexFund stipend that can be applied across many day-to-day categories such as fitness, childcare, and other personal expenses. On-site or virtual clinics and fitness options add practical health and wellness convenience.
  • Affordable Benefits Healthcare and related benefits are positioned as comparatively affordable via heavily subsidized medical plans and broad coverage options. This affordability can offset moderate base pay for employees who place higher value on out-of-pocket cost reductions.

Vanguard Insights

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The Company
Charlotte, NC
20,252 Employees
Year Founded: 1975

What We Do

We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.

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