Sr. Demand Analyst
Listed on 2026-01-27
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Business
Business Analyst, Data Analyst, Business Development
If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.
Requisition
OverviewThe Demand Management Analyst is responsible for delivering accurate, insight-driven demand plans and inventory strategies that support capital optimization, corporate strategy, and production/sales objectives. This role blends algorithmic planning with business acumen—leveraging statistical and forecasting models, scenario modeling, and cross-functional inputs—to drive service levels, profitability, and operational efficiency. The analyst acts as a key integrator across Sales, Marketing, Business Units, Supply Chain, Quality, Logistics, Finance, Operations, and Customer Service, aligning demand, supply, and revenue plans while enabling effective decision-making.
Responsibilities- Forecasting & Algorithmic Planning
- Build and maintain demand forecasts using statistical methods (e.g., exponential smoothing, ARIMA, regression) and machine-learning–based forecasting algorithms as appropriate.
- Segment demand (e.g., ABC/XYZ, lifecycle stages) and apply fit-for-purpose algorithms to improve forecast accuracy and reduce bias.
- Integrate external signals (market trends, seasonality, macro factors) with internal data (historical orders, bookings, backlog) to enhance plan fidelity.
- Integrated Business Planning & Cross-Functional Collaboration
- Partner with Sales and Marketing to incorporate pipeline, and new product introductions (NPIs).
- Align with Business Units on revenue targets, product strategies, and portfolio changes.
- Coordinate with Supply Chain, Quality, and Logistics to understand capacity, lead times, quality constraints, and distribution.
- Work closely with Operations and Sales to reconcile demand plans.
- Inventory & Supply Planning
- Plan and manage inventory levels to meet service-level targets while optimizing working capital.
- Drive decisions on allocation and prioritization to protect critical customers, channels, and revenue.
- Scenario Modeling & Decision Support
- Run “what-if” analyses to evaluate demand/supply fluctuations, capacity changes, and risk scenarios (e.g., supplier disruptions, logistics constraints).
- Quantify tradeoffs (revenue, margin, service levels, expedite costs) and recommend actions with clear assumptions and sensitivities.
- Analytics, Insights & Continuous Improvement
- Analyze demand, supply, and shipment trends to identify opportunities, risks, and root causes of variance.
- Develop reports that communicate plan changes, accuracy metrics, bias, and performance.
- Lead improvement initiatives to enhance forecast accuracy, shorten planning cycles.
- Bachelor’s degree in supply chain management, Math, Business, Economics, Engineering, Data Analytics, or related field.
- 5 years of experience in demand planning, forecasting, inventory management, or supply chain analytics.
- Proficiency with Excel (advanced), ERP/APS planning tools (e.g., SAP APO/IBP, Oracle Demantra, Kinaxis), and data visualization (Power BI/Tableau).
- Working knowledge of statistical forecasting and algorithmic planning; ability to select and apply appropriate models.
- Excellent communication skills and demonstrated ability to collaborate across functions.
- Analytical & Planning Skills
- Demand Forecasting:
Analyze historical data, market trends, and customer behavior to predict demand accurately. - Revenue Planning:
Understand financial metrics, fulfillment, and profitability analysis to align demand plans with…
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