Data Analyst, Specialist

Core Responsibilities:

1. Data Analysis & Insight Enablement

• Produce highquality analytical outputs supporting technology strategy planning workforce cost and delivery insights.

• Perform data extraction validation transformation and analysis across multiple data sources.

• Support the preparation of recurring and adhoc insight packs used in planning governance forums and leadership updates.

• Act as a trusted data partner to ensure accuracy consistency and clarity of inputs feeding insights to senior level analysts.

2. Automation & AI Enablement

• Design build and maintain automated dashboards datasets and workflows to reduce manual reporting effort.

• Identify repeatable reporting and PMO activities suitable for automation or AIassisted solutions.

• Contribute to experimentation with AI and advanced analytics to improve speedtoinsight and signal quality.

3. PMO & Governance Support

• Support PMO disciplines including planning cycles tracking variance analysis forecasting and progress reporting.

• Maintain gold copy datasets and documentation to ensure governance traceability and auditability of data.

• Ensure consistent definitions assumptions and metrics across reports and planning artefacts.

• Support process improvement across PMO and reporting workflows.

4. Collaboration & Ways of Working

• Work closely with senior level analysts to turn raw data into decisionready insight.

• Collaborate with Finance Workforce and Technology partners to align data and planning artefacts.

• Contribute ideas for continuous improvement and modernization of analytics and PMO processes.

Qualifications:

• Solid experience in data analysis reporting or analytics roles with enterprise datasets.

• Proficiency with data tools such as SQL Power BI/Tableau Excel; Python desirable but not required.

• Strong attention to detail and commitment to data accuracy and quality.

• Ability to manage multiple priorities and deliver to agreed timelines.

• Working knowledge of PMO or planning disciplines (e.g. tracking forecasting variance status reporting).

• Experience building or maintaining automated dashboards or data pipelines

• Familiarity with technology finance or workforce datasets.

• Exposure to AIassisted analytics or workflow automation.

• Experience working in a matrixed or global environment.

• Curiosity and willingness to experiment with new tools and approaches.

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.