Business Intelligence & Data Engineer

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Lenovo

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
PostgreSQL SQL Hive DAX Analytics ETL

Job Description

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).

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.

Key Responsibilities

  • Dashboards publish and development: Design and deploy enterprise Power BI solutions, including DAX measures, dynamic reports, and interactive dashboards to track KPIs. and dataset monitoring
  • Data Warehouse maintenance: Architect and optimize PostgreSQL-based data warehouses, develop high-performance SQL queries, and monitoring ETL pipelines to ensure data integrity and efficiency
  • Stakeholder Collaboration: Collaborated with cross-functional teams, including Sales, Operations, and Finance, to translate business requirements into actionable data insights and reporting solutions.
  • Data Analysis: Conducted data cleaning, transformation, and advanced analytics to support data-driven decision-making processes.
  • Data Foundation Support: Implemented data governance, data uploading, and data consolidation procedures.
  • Ad-hoc Data and reporting support
  • System Maintenance: Oversee data analysis systems, identify and resolve technical issues in a timely manner, and ensure the continuity of operational processes.
  • Exceptional cases deep dive and process analysis and review.
  • Quarterly closing data supporting

Mandatory Requirements

  • Education: Bachelor’s degree in data science, Computer Science, Statistics, or related field

Technical Skills

  • 2+ years of Power BI Desktop development (data modeling, DAX, visualization) .
  • Advanced SQL proficiency (2+ years with PostgreSQL and Hive SQL), including query optimization

Soft Skills

  • Fluent English (written/spoken) for global stakeholder collaboration
  • Proven track record of delivering end-to-end Power BI projects independently
  • Ability to simplify technical concepts for non-technical audiences and clarify ambiguous requirements
  • .

Preferred Qualifications

  • Experience in fast-paced, cross-departmental projects
  • Exposure to multiple business domains (e.g., retail, finance, logistics)
  • Master’s degree in a relevant field

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

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