Marketing Measurement & Analytics Analyst

Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 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).

Lenovo's Corporate Marketing Organization is looking for a Analyst to join the Marketing Measurement & Analytics Team, reporting to the team's Senior Manager.

This is a multi-dimensional role that requires a strong foundation in data structuring, manipulation, and visualization, with an emphasis on leveraging analytics to drive strategic insights. The successful candidate will play a key role in connecting datasets, applying solution-based technical expertise, and facilitating storytelling through comprehensive reporting and visualization. Experience with AI-driven analytics, automation, or machine learning techniques will be highly valuable as we continue to enhance our marketing measurement capabilities.

Marketing Measurement & Analytics Analyst is responsible for driving overall data excellence across the visualization platform:

• Design, Build & Manage Complex Datasets
  • Lead data design and architecture efforts by connecting, structuring, and managing complex datasets from a variety of internal and external stakeholders.
  • Configure and manage API connections to streamline data integration.
  • Develop, design, and optimize advanced SQL queries for efficient data processing.
  • Maintain and optimize the Data Warehouse, ensuring efficient data storage, structure, and integration.
  • Explore opportunities to leverage AI-driven data processing, automation, and predictive modelling to enhance analytics capabilities.
• Enable Data-Driven Storytelling & Visualization
  • Partner with Lenovo's Marketing functions, Geos, and cross-functional teams to aggregate large datasets and transform them into actionable insights.
  • Develop a strategic approach to data acquisition, ensuring accessibility and usability.
  • Oversee day-to-day stakeholder use cases, including usage training and data process support for teams such as Brand, PR, and Social.
  • Act as a consultant and mentor, guiding stakeholders on best practices and fostering data self-sufficiency.
  • Enhance data visualization by integrating AI-powered analytics and automation to generate deeper, more predictive insights.
• Drive Holistic Data-Driven Decision-Making
  • Support a structured, strategic approach to data-driven insights that align with business objectives.
  • Innovate new ways to enhance analytics and visualization, incorporating machine learning techniques and AI-based insights where applicable.
  • Support the development and refinement of methodologies for defining and calculating Marketing ROI.
• Champion Continuous Improvement & Industry Awareness
  • Continuously refine best practices for both short-term agility and long-term scalability, ensuring flexibility and platform agnosticism.
  • Stay ahead of industry trends, platform launches, and AI-driven advancements, identifying opportunities to enhance Lenovo's analytics capabilities.
  • Develop an effective approach for sharing key industry insights with stakeholders and, when appropriate, across the broader organization.

Required Qualifications:

• 5+ years of experience in a data-driven environment supporting business intelligence systems, specifically in a BI, ETL, ELT developer role.
• Strong foundation in Data Science, Data Modeling, and analytics.
• Expertise in SQL
• Bachelor's Degree in Information Systems, Statistics, Computer Science or related field preferred OR equivalent professional experience.

• Proficiency in scripting technologies preferred (Java, Python, R).
• Strong understanding of relational, columnar, and NoSQL database technologies preferred (e.g., MySQL, MS SQL, Presto, MS SQL Server, Vertica, MongoDB)
• Experience working with large datasets and applying statistical methodologies.
• Advanced Excel skills.
• Data visualization experience (e.g., Tableau, Domo).
• Practical experience in using AI large language models and AI tools in a professional capacity.
• Ability to manage and prioritize multiple stakeholders, projects, and global teams to meet strategic goals.
• Strong analytical, planning, project management, and interpersonal skills-able to manage high-volume, high-visibility functions.
• Ability to gather, analyze, and present data-driven solutions to business problems.
• Proficiency in MS Office Suite inc Excel and Outlook.
• Strategic thinker focused on how data connects and impacts the broader business.
• Strong collaboration skills, able to work across organizational boundaries, influence others, and create clarity from confusion.