Operation Mgmt Specialist

General Information

Req # WD00101797 Career area: Information Technology Country/Region: Singapore State: Central Singapore City: SINGAPORE Date: Friday, July 3, 2026 Working time: Full-time Additional Locations:

• Singapore - Central Singapore - Singapore
• Singapore - Central Singapore - SINGAPORE

Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

Data Analyst

Job Description

Responsibilities:

Power BI Development & Analytics

• Design, develop, and maintain Power BI dashboards and reports for KPIs and operational insights.
• Build robust data models (star schema, relationships, calculated tables).
• Develop advanced DAX measures and optimize for performance and usability.
• Implement Row-Level Security (RLS), refresh schedules, and governance best practices.
• Troubleshoot data quality issues, refresh failures, and performance bottlenecks.

Own dashboard lifecycle: requirements build UAT support deployment* enhancements.

Data Analysis, Automation & Preparation (Python + SQL)

• Use Python to clean, transform, and analyse datasets (e.g., pandas, numpy) and to automate recurring analysis/reporting tasks.
• Use SQL to extract, validate, and reconcile data across systems.
• Create reusable data preparation scripts and support dataset readiness for reporting.
• Perform root-cause analysis and explain “why” behind trends, not just “what”.

Data Storytelling & Executive Reporting

• Translate analysis into clear, actionable business insights.
• Produce professional PowerPoint decks that communicate trends, risks, and recommendations.
• Present insights to both technical and non-technical stakeholders with clarity.

Backend & Integration Support

• Support integration work using Node.js (e.g., REST APIs, data services, connecting to internal systems).
• Build or maintain simple services/scripts to enable data movement or analytics integration.
• Must be based on real implementation experience.

AI/ML Exposure

• Experience with machine learning algorithms and tools (e.g Pytorch, R, scikit-learn, TensorFlow, Python).
• Apply basic models where useful (forecasting, anomaly detection, clustering) using Python libraries.
• Understand how predictive outputs can be operationalized into dashboards.

Qualifications:

• Bachelor’s degree in quantitative field (Statistics, Math, CS, Engineering, etc.) or equivalent.
• 4-5 years of hands-on experience delivering Power BI dashboards in production.
• Strong Power BI skills: data modeling, DAX, report development and performance optimization.
• Strong Python skills for data analysis and automation (hands-on experience required).
• Solid SQL capability.
• Hands-on Node.js exposure with real delivery experience (APIs / integration support).
• Strong communication, stakeholder management