Commercial Analyst

Commercial Analyst About the Role

We’re launching a new generation of AI-powered PCs across our Consumer and SMB segments. As the Commercial Analyst, you’ll turn data into decisions—shaping pricing, quantifying market opportunity, tracking country performance, and optimizing sales motions across our website and contact center. You’ll build and maintain the analytical backbone behind daily trading, promotional planning, and go‑to‑market performance.

• Market & Opportunity Sizing
• Pricing & Promotions
• Country Performance & Trading
• Web & Contact Center Analytics
• Forecasting & Inventory
• Launch & GTM Readiness
• Stakeholder Management & Governance

• Bachelor’s degree in Business, Economics, Data/Analytics, or related field (Master’s preferred).
• 3–5+ years in commercial/retail analytics within consumer electronics, telco, or eCommerce.
• Proven experience with pricing, promotions, market sizing, and country performance in multi‑country launches.
• Hands‑on with web analytics (e.g., GA4/Adobe), funnel optimization, and contact center metrics.
• Strong financial acumen (margin math, elasticity, LTV/CAC, cohort analysis).

• BI & Data:
  Power BI/Tableau, Excel (advanced), SQL (nice to have), Python/R (preferred for modeling).
• Web Analytics: GA4/Adobe Analytics, tag management, A/B testing tools (Optimizely/VWO).
• Pricing Tools:
  Competitive price monitoring solutions, internal pricing engines.
• CRM/CC Platforms:
  Salesforce (Sales/Service), Genesys/NICE or similar (contact center).
• Collaboration:
  
  PowerPoint/Slides for exec storytelling;
  Confluence/SharePoint for documentation.

• Analytical clarity:
  Simplifies complex data into crisp, commercial recommendations.
• Bias to action:
  Moves fast, tests assumptions, iterates based on evidence.
• Stakeholder influence:
  Comfortable challenging and aligning cross‑functional teams.
• Detail orientation:
  High data quality standards; disciplined in definitions and controls.
• Customer empathy:
  Understands buyer journeys in both web and assisted sales contexts.

• Revenue & GM vs. plan by country/segment/channel.
• Conversion Rate, AOV, ASP, and promo ROI (incremental lift vs. baseline).
• Price Index & Competitiveness vs. key retailers/OEM peers.
• Forecast Accuracy (MAPE) and inventory health (weeks of cover, aged stock).
• Contact Center: conversion, AHT, sales adherence, offer adoption.
• Time to Insight and adoption of dashboards/playbooks by stakeholders.

• Establish data pipelines, definitions, and baseline dashboards for web and contact centre.
• Deliver a country‑by‑country sizing and competitive pricing framework for launch SKUs.
• Run at least two pricing/promotional tests with measured impact and clear next steps.
• Set the weekly trading rhythm and produce executive‑ready performance packs.

Job -

Business Planning

Schedule -

Full time

Shift -

No shift premium (United Kingdom)

Travel -

Relocation -

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