Its an exciting time to be in International IT supporting our business entering multiple new markets and offers. This role is critical in providing IT leaders meaningful insights on resources (suppliers), workforce and finances to support decision making. This role is responsible for the foundational analytics, automation, and delivery rigor that underpin senior‑level insights. The role works closely with senior analysts, PMO partners, Finance, and Technology teams to ensure data is accurate, repeatable, well‑governed, and increasingly automated.
Core Responsibilities:
1.
Data Analysis & Insight Enablement:
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Produce high‑quality analytical outputs supporting technology strategy, planning, workforce, cost, and delivery insights.
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Perform data extraction, validation, transformation, and analysis across multiple data sources.
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Support the preparation of recurring and ad‑hoc insight packs used in planning, governance forums, and leadership updates.
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Act as a trusted data partner to ensure accuracy, consistency, and clarity of inputs feeding insights to senior level analysts.
2.
Automation & AI Enablement:
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Design, build, and maintain automated dashboards, datasets, and workflows to reduce manual reporting effort.
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Identify repeatable reporting and PMO activities suitable for automation or AI‑assisted solutions.
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Contribute to experimentation with AI and advanced analytics to improve speed‑to‑insight and signal quality.
3.
PMO & Governance Support:
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Support PMO disciplines including planning cycles, tracking, variance analysis, forecasting, and progress reporting.
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Maintain “gold copy” datasets and documentation to ensure governance, traceability, and auditability of data.
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Ensure consistent definitions, assumptions, and metrics across reports and planning artefacts.
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Support process improvement across PMO and reporting workflows.
4.
Collaboration & Ways of Working:
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Work closely with senior level analysts to turn raw data into decision‑ready insight.
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Collaborate with Finance, Workforce, and Technology partners to align data and planning artefacts.
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Contribute ideas for continuous improvement and modernization of analytics and PMO processes.
Qualifications:
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Solid experience in data analysis, reporting, or analytics roles with enterprise datasets.
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Proficiency with data tools such as SQL,Power BI/Tableau, Excel; Python desirable but not required.
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Strong attention to detail and commitment to data accuracy and quality.
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Ability to manage multiple priorities and deliver to agreed timelines.
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Working knowledge of PMO or planning disciplines (e.g., tracking, forecasting, variance, status reporting).
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Experience building or maintaining automated dashboards or data pipelines
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Familiarity with technology, finance, or workforce datasets.
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Exposure to AI‑assisted analytics or workflow automation.
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Experience working in a matrixed or global environment.
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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.
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关于Vanguard

Vanguard
PublicA client-owned investment company that offers low-cost mutual funds, ETFs, advice, and related services to institutional and individual investors, and financial professionals.
10,001+
员工数
Kelayres
总部位置
评价
10条评价
4.1
10条评价
工作生活平衡
3.8
薪酬
2.5
企业文化
4.2
职业发展
3.2
管理层
4.3
75%
推荐率
优点
Supportive management and leadership
Great work-life balance and flexibility
Strong team collaboration and culture
缺点
Low or non-competitive compensation
Limited career advancement and promotions
Heavy workload and long hours
薪资范围
756个数据点
Junior/L3
Junior/L3 · Business Development Specialist
3份报告
$82,893
年薪总额
基本工资
$72,072
股票
-
奖金
-
$82,893
$82,893
面试评价
3条评价
难度
3.0
/ 5
时长
14-28周
面试流程
1
Application Review
2
Online Assessment/Case Study
3
Phone Interview
4
Technical Interview
5
Final Round Interview
6
Offer
常见问题
Technical Knowledge
Behavioral/STAR
Past Experience
Case Study
Coding/Algorithm
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