Role Summary
The Data Analyst, Specialist is responsible for leveraging data-driven insights to support strategic business decisions and improve operational efficiency. This role involves structuring complex business requests into well-defined analytical projects, extracting and analyzing large datasets from multiple sources, and developing automated reporting and decision-support solutions to enhance data accessibility and business outcomes. The role will also evaluate and support emerging analytics, automation, and AI-enabled capabilities that help drive innovation and improve decision-making across the organization.
Core Responsibilities
1. Engages with internal partners to understand business strategy, questions and goals. Brings structure to business requests, translates requirements into an analytical project approach, and leads projects through completion. Delegates tasks and provides tactical and strategic guidance to peers.
2. Acquires, integrates, and curates structured and unstructured data from diverse sources. Ensures data quality, accuracy, reasonableness, and fitness for use while helping establish scalable data assets that support advanced analytics, automation, and AI-enabled solutions.
3. Performs analyses of historical data to surface trends and insights using advanced analytical methods. Evaluates and applies emerging analytical techniques, including AI-assisted methods where appropriate, and validates approaches used by other analysts.
4. Develops and delivers compelling visualizations, presentations, and decision-support tools that translate complex analyses into clear, actionable recommendations. Uses storytelling techniques to help business partners understand insights, tradeoffs, and potential actions.
5. Develops, owns and manages recurring analytic or reporting processes.
6. Mentors, coaches, trains, and develops junior data analysts. Proactively expands knowledge of business and analytics and shares with team members. Shares and documents best practices.
7. Contributes to strategic initiatives and innovation efforts. Identifies and pilots new analytical, automation, and AI capabilities that advance team objectives and enhance organizational effectiveness.
8. Participates in special projects and performs other duties as assigned.
Qualifications and Skills
Minimum 5 years of relevant work experience, with at least 3 years in advanced data analysis, statistical modeling or business intelligence.
Bachelor’s degree (B.E./B.Tech) in Computer Science, IT, or a Bachelor’s in Statistics/Mathematics.
Strong proficiency in SQL for querying, data extraction and performance optimization.
Expertise in Python or R for data manipulation, automation and advanced analytics.
Hands-on experience with data visualization tools such as Tableau, Power BI, or similar platforms to create interactive dashboards and reporting solutions.
Preferred Qualifications
Experience with AI-enabled analytics, generative AI applications, AI agent development, Microsoft Fabric, Amazon Bedrock, or other emerging analytics technologies is a plus.
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
- Minimum 5 years of relevant work experience
- At least 3 years of experience in advanced data analysis, statistical modeling, or business intelligence
- Bachelor's degree in Computer Science, Information Technology, Statistics, or Mathematics
- Strong proficiency in SQL for querying, data extraction, and performance optimization
- Expertise in Python or R for data manipulation, automation, and advanced analytics
- Hands-on experience with Tableau, Power BI, or similar data visualization platforms
- Experience with AI-enabled analytics, generative AI applications, AI agent development, Microsoft Fabric, Amazon Bedrock, or emerging analytics technologies
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.
