Hands‑On Technical Leadership
Design, build, and maintain scalable data models, datasets, and analytical solutions with a focus on correctness, performance, and reusability.
Write, review, and own production‑quality SQL and Python code across data pipelines, transformations, and analytical workflows.
Serve as a technical lead on complex projects—defining approach, driving design decisions, and ensuring high‑quality execution.
Partner closely with data engineering and platform teams to influence data architecture, modeling standards, and tooling.
Ensure analytics solutions are built on trusted, well‑governed, and sustainable data foundations.
Analytics & Solution Delivery
Lead the delivery of high‑impact dashboards, metrics, and analytical products that support strategic and operational decision‑making.
Translate ambiguous business problems into structured analytical approaches, data models, and technical solutions.
Apply advanced analytical techniques (e.g., statistical analysis, predictive modeling, machine learning where appropriate) to identify trends, risks, and opportunities.
Drive automation and standardization of reporting and analytics workflows to improve scalability and reduce manual effort.
Own outcomes for key deliverables, ensuring timelines, quality, and business impact are met.
Project Leadership & Mentorship
Lead analytics workstreams across multiple concurrent initiatives, coordinating across stakeholders and ensuring alignment to business priorities.
Mentor and support junior analysts through code reviews, design discussions, and hands‑on coaching.
Promote best practices in data modeling, coding standards, and analytical rigor across the team.
Act as a bridge between business stakeholders and technical teams, ensuring solutions are both business‑relevant and technically sound.
Contribute to shaping analytics priorities and roadmaps, balancing near‑term delivery with long‑term data quality and scalability.
Qualifications:
4+ years of experience in data analytics, data engineering, or related technical roles with strong hands‑on delivery.
Proven experience leading complex analytics or data initiatives as an individual contributor.
Strong experience designing scalable data models (e.g., dimensional, semantic, or analytical models).
Advanced proficiency in SQL and Python, with experience maintaining complex analytical codebases.
Experience partnering closely with data engineering teams on data pipelines, architecture, and data platforms.
Deep understanding of analytics and BI concepts, with experience using tools such as Power BI, Tableau, Looker, or similar.
Strong ability to translate ambiguous business problems into well‑structured technical solutions.
Excellent communication skills, with the ability to clearly explain technical concepts to both technical and non‑technical audiences.
Preferred Experience:
Experience mentoring analysts in a technical lead or informal leadership capacity.
Familiarity with modern data platforms (e.g., cloud data warehouses, transformation frameworks, orchestration tools).
Experience operating in complex, enterprise or regulated 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.
Skills Required
- 4+ years of experience in data analytics or related technical roles
- Proven experience leading complex analytics or data initiatives
- Strong experience designing scalable data models
- Advanced proficiency in SQL and Python
- Experience partnering with data engineering teams
- Deep understanding of analytics and BI concepts
- Excellent communication skills
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.
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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.
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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.
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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
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.
