Core Responsibilities:
1. Data Analysis & Insight Enablement
Produce high‑quality 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 ad‑hoc 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 AI‑assisted solutions.
Contribute to experimentation with AI and advanced analytics to improve speed‑to‑insight 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 decision‑ready 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 AI‑assisted 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.
