Data Analyst, Specialist

AI in this role

bedrock

ai-agents

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.

How we rate this

Data Analyst, Specialist at Vanguard rates 47 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsBedrock

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through how you've used Bedrock in your day-to-day work.
This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

List these exact terms on your resume: AI Agents and Bedrock. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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