Global Mobility Data & Reporting Analyst
IBM
This job at a glance
- Who can apply
- New grads, no experience needed · Bachelor's degree
- Must know
- OperationsEmbedded systemsMicrosoft OfficeAuditingExcelBusiness analysis
- Nice to have
- Data visualizationSAPHRISFinancial analysis
- Work
- On-site in Raleigh
- Pay
- Not stated by the employer.
- Skill demand
- Operations43%Microsoft Office22%Auditing21%Embedded systems2%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 11, 2026 · still open
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About the Role
As a Global Mobility Data & Reporting Analyst within IBM’s HR Delivery Operations (HRDO) Early Professional Hire Program, you will be embedded in the core of HR Delivery Operations. This role is designed for driven early professionals to analyze data, solve problems, and contribute to the employee experience for IBMers globally. You will develop skills in data fluency, analytical acumen, and AI-native thinking.
Key Responsibilities
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Program Learning Journey:
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Week 1 — Foundation: Orientation to IBM culture, ways of working, and core productivity tools (Outlook, Slack, Monday.com).
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Week 2 — HRDO Immersion: Grounding in HR I&O leadership, the HRDO operating model, KPIs, end-to-end experience measurement, and the PMO.
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Months 1–3 — Immersion: Embedded within a cross-functional delivery squad, learning through direct exposure and structured coaching.
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Months 4–6 — Accountability: Leading data and analytics deliverables with structured oversight.
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Months 7–12 — Impact: Developing deep functional expertise and independently proposing actions to improve employee experience and operational performance.
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12+ Months — Elevation: Transitioning to owning strategic initiatives and influencing outcomes.
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Function-Specific Responsibilities:
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Perform detailed reporting and analysis in support of the Global Mobility team, including research, performance reporting, analytics, operations management, audit, and departmental operations.
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Plan, design, and execute reporting and analysis by accessing and consolidating data from multiple sources.
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Collaborate with departmental managers to produce meaningful analysis in a comprehensive format, including dashboards, charts, graphs, and presentations.
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Summarize data and provide commentary or observations based on analysis.
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Access data from enterprise systems, complex spreadsheets, and vendor/supplier databases.
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Shared Responsibilities:
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Analyze operational and employee experience data to identify trends, risks, and opportunities for process improvement.
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Translate data into clear, actionable insights and recommendations for HR leaders and operations teams.
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Develop and maintain dashboards, ad hoc analyses, and standardized reporting to monitor HR performance and service health.
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Develop executive-ready presentations and narratives that communicate complex insights.
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Partner cross-functionally with HRDO teams and HR professionals to drive alignment and deliver outcomes.
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Contribute to a culture of continuous improvement by proactively surfacing ideas and acting on feedback.
Requirements & Tech Stack
- Microsoft Office Suite (Excel, PowerPoint, Outlook, Word)
- Outlook, Slack, Monday.com (for Week 1 orientation)
- Enterprise systems, complex spreadsheets, vendor/supplier databases (data sources)
Qualifications
- Bachelor’s degree in Human Resources, Business, Data Analytics, Finance, or a related field.
- Strong analytical mindset with a genuine curiosity for working with data.
- Excellent written and verbal communication skills with the ability to present ideas clearly and confidently.
- Ability to manage competing priorities with strong organizational skills and attention to detail.
- Ability to maintain confidentiality and handle sensitive employee information with discretion.
Preferred Technical And Professional Experience
- Exposure to data visualization tools.
- Familiarity with AI tools and an eagerness to adopt emerging technologies.
- Experience with enterprise HR or business systems (e.g., Workday, SAP, Concur).
- General financial capabilities to calculate and conduct basic financial analysis.