Senior Finance Data Analysis Engineer

Lenovo

Lenovo

Accounting & Finance, Data Science

Petaling Jaya, Selangor, Malaysia

Posted on May 21, 2026

General Information

Req #
100016977
Career area:
Data Management and Analytics
Country/Region:
Malaysia
State:
Selangor
City:
Petaling Jaya
Date:
Wednesday, May 20, 2026
Additional Locations:
* Malaysia

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$69 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).
To find out more visit www.lenovo.com and read about the latest news via our StoryHub.

Description and Requirements

Key Responsibilities

  • Act as a BI Developer / Consultant, supporting Lenovo’s Finance team in digital transformation and analytics initiatives.
  • Collaborate with multiple business stakeholders to gather, analyze, and translate requirements into scalable and effective BI solutions.
  • Design and implement data models and schemas tailored for financial reporting, analysis, and decision‑making.
  • Develop, maintain, and optimize ETL pipelines to integrate data from source systems (e.g. ERP, GL, CRM) into centralized data platforms.
  • Drive project execution by tracking progress, providing regular updates, and working closely with cross‑functional teams to ensure timely delivery.
  • Identify and troubleshoot data quality issues and discrepancies, ensuring accurate, timely, and reliable data availability.
  • Support User Acceptance Testing (UAT) for dashboards and reports, including user training, Q&A, and issue resolution.
  • Manage report change control processes, implementing enhancements in line with standard procedures and evolving business needs.
  • Continuously support structural and business changes, including data integration, standardization, and governance initiatives.

Required Skills

  • Strong communication and stakeholder management skills, with the ability to work effectively across global and cross‑functional teams.
  • Solid technical foundation in BI solutions, including a strong understanding of data warehouse architecture and data flows.
  • Hands‑on experience with data modeling and building datasets for financial reporting and analytics.
  • High level of business and data sensitivity, with the ability to quickly understand business context, project value, and stakeholder objectives.
  • Strong sense of ownership, with proven problem‑solving and troubleshooting capabilities.
  • Ability to work effectively under pressure and adapt to changing requirements and priorities.
  • Basic proficiency in scripting languages (e.g. Python, PowerShell) for automation and data manipulation.

Basic Qualifications

  • Bachelor’s degree or above from a full‑time academic program.
  • Minimum 3 years of relevant experience, preferably with exposure to multiple finance‑related domains such as FP&A, Supply Chain, or Finance.
  • Proven experience in data analytics and BI development, with strong proficiency in Power BI (end‑to‑end development from scratch); experience with Qlik Sense is a plus.
  • Strong expertise in data modeling, DAX, and dashboard design; familiarity with Row‑Level Security (RLS) for access control.
  • Proficiency in at least one common database technology (e.g. Azure Databricks, SQL Server, MySQL, Oracle).
  • Hands‑on experience with ETL tools (e.g. Talend, Informatica, SSIS) is highly preferred.
  • Familiarity with Agile development methodologies, as well as data warehouse design and modeling principles.
  • Exposure to SAP ECC/BW, Microsoft Power Platform, and big data technologies (e.g. Hive, Spark) is considered an advantage.

Additional Locations:
* Malaysia
* Malaysia