Data Center Market Sr. Business Analyst

at  Intel

JOB DESCRIPTION

We are seeking a highly analytical and detail-oriented Business Intelligence Sr Analyst to join the Data Center Strategic Planning and Market Analytics organization.
The ideal candidate will be responsible for evaluating Accelerator market trends within the data center industry. The role involves collecting, analyzing, and interpreting large datasets to help our company make informed decisions regarding Accelerator technology investments, product development, and market strategies.

QUALIFICATIONS

Minimum qualifications, you must possess the below minimum qualifications to be initially considered for this position:

• Bachelor’s degree in computer science, Information Technology, Business, Economics, Statistics, or a related field.
• 4+ years of experience in a business intelligence or data analyst role ideally focused on the Technology industry.
• 4+ years of proven experience in dynamic models and quantify data in Microsoft Excel.
• 4+ years of experience in analyzing market trends, ideally with a specific emphasis on Accelerator and/or AI and related technologies.
• Advanced English level.
• Must have unrestricted - permanent right to work in Costa Rica or Mexico.
• The position is placed in Costa Rica and Mexico, it is not eligible for employment-based visa/immigration sponsorship.

Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates:

• A Master’s degree or MBA with a focus on analytics or technology management is a plus.
• 4+ years of experience in a business intelligence or data analyst role in the Data Center or Market Research/ Intelligence Industry.
• 4+ years of experience in Data Center operations, infrastructure, and the competitive landscape of Accelerator manufacturers.
• Strong understanding of the industry, also statistical analysis, forecasting, and data mining techniques.
• Familiarity with Accelerator and/or AI architectures, performance benchmarks, and industry standards.
• Understanding of AI and/or HPC is a plus.
• Proficiency in data analytics tools (e.g., SQL, R, Python) and/or business intelligence platforms (e.g., Tableau, Power BI, QlikView).

• Monitor and analyze Accelerator market trends, including pricing, technology advancements, and competitor strategies.
• Develop and maintain analytical models such as TAM forecasting and segmentation to predict market movements and potential impacts on the business.
• Collaborate with internal stakeholders to understand business needs and provide insights that inform strategic decisions.
• Create regular reports and presentations that summarize findings and recommendations for executive leadership.
• Stay informed on industry developments, regulatory changes, and technological innovations that may affect the Accelerator market.
• Support the data center strategy team with ad-hoc analysis and market intelligence as needed.
• Gather, clean, analyze, and prepare insights/recommendations using quantitative and qualitative business data, covering a wide array of domain specific subjects and specialized topics.
• Identify patterns in the data that contribute to the understanding of the market; transforms data into actionable insights to support decision making and impacting improvements in business practices.
• Assess strategies by analyzing industry trends and markets.
• Build compelling data stories, translates data into insights, provides recommendations and options, and measures business impact of decisions made.
• Advise on analytical projects for senior leadership, often influencing decision making through compelling narratives and storytelling.
• Explore new and innovative visual approaches and techniques such as interactive dashboards for better data storytelling.
• Design, develop, test, and deploy business intelligence scripts as required and performs detailed analytics.
• Conduct business analysis, collect business requirements, and translate them into business intelligence solutions leveraging best practices, also help customers build data acumen.
• Collaborate with a variety of business/functional stakeholders and bridges to technical staff, including Data Engineers and Data Architects to build analytics and business intelligence requirements in the design stage.