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Lead, Data Analytics & Modeling
Vanguard Group
- United States
- United States
À propos
The Manager, Data Analytics & Modeling is a handson technical leader responsible for designing, building, and scaling highquality data solutions that enable better decisionmaking across the FAS business. While this role carries a Manager title, it is intentionally highly technical and executionoriented. The ideal candidate is a strong individual contributor who actively writes code, designs data models, and partners closely with engineering teams to deliver scalable, productionready data assets.
This role blends deep technical expertise in data modeling, analytics, and data engineering with the ability to lead and mentor a small team of analysts.
Core Responsibilities:
HandsOn Technical Leadership
Design, build, and maintain
scalable data models, datasets, and analytical solutions , with a strong focus on correctness, performance, and reusability. Write, review, and own
productionquality SQL and Python code
used in data pipelines, transformations, and analytical workflows. Partner closely with
data engineering and platform teams
to influence data architecture, modeling standards, and tooling choices. Ensure analytics solutions are built on wellarchitected, trusted, and wellgoverned data foundations. Analytics & Solution Delivery
Lead the development of
highimpact dashboards, metrics, and analytical products
that support strategic and operational decisionmaking. Translate complex business problems into
clear analytical approaches , data models, and technical solutions. Apply advanced analytical techniques (e.g., predictive analytics, statistical modeling, machine learning where appropriate) to identify trends, risks, and opportunities. Drive automation and standardization of reporting and analytics workflows to reduce manual effort and improve scalability. Team Leadership & Collaboration
Hire, mentor, and develop a team of analysts, setting a strong technical bar and fostering handson skill growth. Provide technical guidance through code reviews, design discussions, and modeling best practices. Work directly with business stakeholders to align analytics solutions to business outcomes, while maintaining strong technical rigor. Contribute to analytics roadmaps and prioritization, balancing nearterm delivery with longterm architectural health. Qualifications:
8+ years of experience
in data analytics, data engineering, or related technical roles, with demonstrated handson delivery. Strong experience designing
data models
(e.g., dimensional, semantic, or analytical models) that support scalable analytics. Advanced proficiency in
SQL
and
Python ; comfort owning and maintaining complex analytical codebases. Experience working closely with
data engineering teams
on data pipelines, architecture, and platform design. Deep understanding of analytics and BI concepts, with experience using tools such as
Power BI, Tableau, Looker, or similar . Proven ability to translate ambiguous business problems into
welldesigned technical solutions . Strong communication skills, with the ability to explain technical concepts to both technical and nontechnical audiences. Preferences:
Experience leading or mentoring analysts in a
playercoach
capacity. Familiarity with modern data platforms (cloud data warehouses, transformation frameworks, orchestration tools). Experience delivering analytics in regulated or complex enterprise environments. Background in financial services, wealth management, or advisorfocused businesses.
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.
Compétences linguistiques
- English
Avis aux utilisateurs
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