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.

Key Responsibilities

Market & Opportunity Sizing

Pricing & Promotions

Country Performance & Trading

Web & Contact Center Analytics

Forecasting & Inventory

Launch & GTM Readiness

Stakeholder Management & Governance

Required Qualifications & Experience

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).

Technical Skills

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.

Core Competencies

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.

Key Performance Indicators (KPIs)

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.

What Success Looks Like (First 90 Days)

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.