Summary
- Salary
- Competitive
- Job Family
- Data Analytics
- Location
- Singapore - Technology Centre
The Lead Analyst is responsible for providing the Head of Sales with clear, actionable insights on sales performance, margin health, channel dynamics, promotional effectiveness and product profitability. The role acts as the analytical backbone of the commercial organization, ensuring revenue growth is delivered with strong margin discipline and informing channel strategy, pricing, and investment decisions.
Working in close partnership with Sales, Marketing, Finance and Supply Chain, the Lead Analyst drives insight‑led decision‑making across the full commercial cycle.
Key Responsibilities
1. Sales Performance & Channel Analytics
Own end‑to‑end sell‑in and sell‑out reporting across all channels (direct retail, key accounts, B2B and e‑commerce), ensuring a single source of truth for sales, margin, inventory and promotional performance.
Analyze channel trends, product mix, ASP drivers, pipeline risks and commercial opportunities impacting revenue, margin and market share.
Deliver concise weekly insights with clear root causes, emerging risks and recommended actions for Sales and channel leaders.
Proactively identify margin erosion risks and recommend corrective actions across pricing, promotion or channel execution.
2. Promotions, Trading Terms & ROI Governance
Maintain full visibility of promotional activity, trading terms, discounts and rebates across channels.
Evaluate promotional ROI, incremental volume, ASP and margin impact, translating learnings into future promotional and investment strategies.
Establish a clear fact base on which commercial and marketing levers generate the strongest returns by channel, supporting disciplined investment decisions.
3. Forecasting, Demand Planning & S&OP
Manage the 12‑month rolling sales forecast, integrating sell‑in, sell‑out, market trends and promotional impact.
Lead the commercial input into S&OP, ensuring demand signals are aligned with supply planning, inventory health and capacity constraints.
Identify gaps versus budget or targets and model scenarios, recovery plans and inventory risk mitigation actions (overstock, ageing, EOL).
4. Product Profitability & Pricing Strategy
Maintain product‑level profitability visibility (GM per unit, ASP, landed cost and promotional impact), identifying SKU or mix‑driven margin risks.
Provide data‑driven inputs into pricing decisions, portfolio optimization and product lifecycle management (launch, sustain, exit).
Build robust financial models and business cases to support pricing actions, portfolio changes, channel initiatives and trading term negotiations.
5. Business Insights & Decision Support
Partner with the wider commercial team to lead structured post‑event reviews of promotions, launches, retail activations and major trading events, translating performance outcomes into clear decisions on future investment, pricing and execution.
Support the Head of Sales in target‑setting by channel, product and KPI, using historical performance, seasonality and market trends.
Serve as a trusted thought partner to senior commercial leaders, bringing data‑driven clarity to complex trade‑off decisions.
6. Reporting Excellence & Data Governance
Deliver accurate, timely weekly and monthly reporting with strong commercial narrative for senior stakeholders.
Enhance reporting efficiency through automation and dashboarding, reducing manual effort across the commercial team.
Act as the data owner and accuracy guardian for all commercial sales data, ensuring consistency, governance and analytical integrity.
Role Requirements
Experience & Skills
5+ years in Sales Analytics, Commercial Analysis, Revenue Management, FP&A, or similar.
Strong understanding of P&L levers: ASP, GM, promo cost, rebates, discounting.
Advanced Excel/Google Sheets skills; experience with BI tools (Power BI/Tableau/Looker).
Proven ability to turn data into insights and business action recommendations.
Competencies:
Highly analytical, commercially minded, and detail-accurate.
Strong grasp of sales channel dynamics.
Comfortable challenging assumptions and protecting margin.
Strong communication skills; able to simplify complex data for decision-makers.
Fast, reliable, and able to handle high volume with precision.
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Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.