Commercial Analyst

Location: Genf

Commercial Analyst page is loaded## Commercial Analyst locations:
Reading, Berkshire, United Kingdom:
Meyrin, Geneva, Switzerland time type:
Full time posted on:
Posted Todayjob requisition :
3158386

Commercial Analyst
** Description
- **** 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.
** Job
- ** Business Planning
** Schedule
- ** Full time
** Shift
- ** No shift premium (United Kingdom)
** Travel
- **** Relocation
- **** Equal Opportunity Employer (EEO)
- ** HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).Please

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