Jobs
Benefits & Perks
•Flexible Hours
•Remote Work
•Flexible Hours
•Remote Work
Required Skills
SQL
Python
Data Modeling
Analytics
Data Engineering
In partnership with the Financial Advisor Services (FAS) organization, Vanguard's Chief Data & Analytics Office is driving a critical transformation in how data and analytics power FAS's vision of being the Advisor to the Advisor. This role sits at the center of that transformation.
The Manager, Data Analytics & Modeling is a hands-on technical leader responsible for designing, building, and scaling high-quality data solutions that enable better decision-making across the FAS business. While this role carries a Manager title, it is intentionally highly technical and execution-oriented. The ideal candidate is a strong individual contributor who actively writes code, designs data models, and partners closely with engineering teams to deliver scalable, production-ready 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:
- Hands-On 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 production-quality 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 well-architected, trusted, and well-governed data foundations.
- Analytics & Solution Delivery
- Lead the development of high-impact dashboards, metrics, and analytical products that support strategic and operational decision-making.
- 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 hands-on 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 near-term delivery with long-term architectural health.
Qualifications:
- 8+ years of experience in data analytics, data engineering, or related technical roles, with demonstrated hands-on 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 well-designed technical solutions.
- Strong communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
Preferences: - Experience leading or mentoring analysts in a player-coach 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 advisor-focused 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.
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About Vanguard
Reviews
3.4
3 reviews
Work Life Balance
2.5
Compensation
3.2
Culture
2.8
Career
3.5
Management
3.0
45%
Recommend to a Friend
Pros
Competitive compensation package with bonuses
Good foundation for career development
Interesting programs aligned with education
Cons
Long commute requirements (2.5 hours)
Mandatory on-site presence multiple days
Pay below industry standards
Salary Ranges
1,532 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Processing Associate
135 reports
$57,471
total / year
Base
$53,433
Stock
-
Bonus
$4,038
$45,260
$73,912
Interview Experience
3 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
Recruiter/HR Phone Screen
3
Technical/Case Study Round
4
Final Round Interview
5
Offer
Common Questions
Behavioral/STAR
Technical Knowledge
Case Study
Past Experience
Culture Fit
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