Business Intelligence Analyst - Client Computing Group
About The Position
Intel's Client Compute Group is at the forefront of PC innovation, driving the future of personal computing through cutting-edge technology and strategic market insights. We're committed to delivering exceptional client computing experiences that power productivity, creativity, and connectivity for users worldwide. We are seeking a detail-oriented and analytically driven Client PC Business Analyst to join our dynamic team. This role focuses on forecasting and analyzing demand across our client PC portfolio through comprehensive financial analysis, market intelligence, and strategic recommendations. You'll play a critical role in driving profitability improvements and supporting data-driven decision-making for our PC business unit.
Requirements
- Bachelor’s degree in business administration, finance, economics, engineering, STEM or related
- 1+ years of hands-on experience in: Microsoft Excel, including complex modeling and analysis
- Business analysis, financial analysis, or related experience
- Technology hardware, consumer electronics, or PC industry preferred
- Market modeling and demand forecasting with AI
Nice To Haves
- 2+ years of experience with: Business acumen and understanding of PnL drivers
- Project Management skills
- Business intelligence tools is a plus (Power BI, Tableau, or similar)
Responsibilities
- Develop accurate demand forecasts for PC products across multiple SKUs and market segments
- Analyze historical sales data, market trends, and seasonality patterns
- Support monthly/quarterly market model processes
- Collect, analyze, and interpret segment owner strategies, sales data, market intelligence, and customer insights
- Track key performance indicators (KPIs) including forecast accuracy, inventory turns, and service levels
- Prepare compelling presentations for cross-functional stakeholders
- Participate in demand review meetings and provide analytical insights
- Communicate demand signals and market trends to relevant stakeholders
- Identify opportunities to enhance demand planning processes and tools
- Support implementation of best practices and standardization initiatives
- Assist in system upgrades and process optimization projects
- Implement and optimize AI-powered demand planning solutions
- Utilize machine learning platforms for pattern recognition and predictive analytics
- Support A/B testing of AI models against traditional forecasting methods
- Train and validate AI algorithms using historical demand data
- Stay current with AI/ML trends and applications in demand planning and supply chain
Benefits
- competitive pay
- stock bonuses
- health
- retirement
- vacation
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
