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Associate, Commercial Analytics

Property Finder
Dubai, UAE
Full-time
Mid-Senior
Onsite
Discovered 5 days ago
Commercial analyticsBusiness analyticsData analysis and insight generationValue frameworks and modelingExecutive-ready presentations and storytellingSales enablement

Full Job Posting

Role summary

The Commercial Analytics Associate works across Strategy & Analytics, Analytics, Product, and Sales.

The role develops data-led recommendations with Account Managers to improve customer performance and drive sustainable sales growth.

It translates data into commercial narratives about product value, ROI, and competitive advantage for Sales teams and clients.

Responsibilities

  • Build client-specific presentations and narratives with Account Managers to identify customer performance opportunities.
  • Create data-driven sales stories and show customers how to improve ROI from Property Finder.
  • Turn account plans into product adoption strategies aligned with customer goals.
  • Equip Sales teams with fact-based differentiation and objection-handling insights; tailor product-value explanations to stakeholders.
  • Translate data into actionable insights for Sales teams and customers.
  • Diagnose adoption gaps and usage friction using data and behavioral insights.
  • Benchmark competitors using product usage, performance, and market data to identify growth and differentiation opportunities.
  • Deliver timely, accurate, decision-ready analysis and reporting for the Commercial team.
  • Build tools and processes to improve team productivity and solve day-to-day problems.

Experience and qualifications

  • At least 3 years in consulting, business analytics, or technology sales enablement, including at least 2 years at an MBB or another Tier 1 management consulting firm.
  • Experience in commercial, commercial analytics, or sales enablement roles.
  • Proven ability to build models, value frameworks, and executive-ready presentations.
  • Undergraduate degree from a top-tier institute.

Skills and communication

  • Exceptional analytical and quantitative problem-solving; able to turn data into commercial insight and identify data quality issues.
  • Experience presenting clear storylines to senior audiences and influencing senior stakeholders.
  • Fluent English; clear, confident communication and strong storytelling skills.
  • Strong SQL is desirable but not required.

Preferred qualification

  • A postgraduate degree is preferred.

Working approach

Able to manage multiple priorities, work independently, and collaborate across functions.

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