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Pricing Consultant

Remote / Online - Candidates ideally in
Riyadh, Riyadh Region, Saudi Arabia
Listing for: Senkrondata AI
Full Time, Remote/Work from Home position
Listed on 2026-06-23
Job specializations:
  • Finance & Banking
  • Business
    Data Analyst
Salary/Wage Range or Industry Benchmark: 200000 - 300000 SAR Yearly SAR 200000.00 300000.00 YEAR
Job Description & How to Apply Below

Senkrondata AI is a unified intelligence platform for modern commerce, enabling pricing, category, e-commerce, and data teams to monitor markets, competitors, products, and digital shelf performance from a single ecosystem. The company transforms high-volume market data into actionable intelligence so brands, marketplaces, and retailers can optimize decisions, protect margins, and drive profitable growth. With six platform modules, coverage in 20+ countries, and over 50 million daily data points.

Role Description

The Pricing Consultant role at Senkrondata AI is a full-time, hybrid position based in Riyadh, with flexibility for some work-from-home days. In this role, you will develop pricing strategies that support revenue growth, margin optimization, and commercial objectives for our clients.

You will collaborate with client stakeholders to understand their business models, diagnose pricing challenges, and translate insights from the Senkrondata AI platform into clear recommendations and implementation plans.

Qualifications
  • Strong analytical skills, including the ability to work with large datasets, build pricing or financial models, and interpret quantitative insights for business decision‑making.
  • Excellent communication and consulting skills, with experience presenting complex findings in a clear, structured manner to both technical and non‑technical stakeholders.
  • Background in finance, revenue management, or related fields, with a solid understanding of pricing concepts, profitability drivers, and commercial KPIs.
  • Knowledge of actuarial science or other advanced quantitative disciplines is a plus, especially for candidates experienced in risk modeling or statistical analysis.
  • Bachelor’s degree in Economics, Finance, Business, Engineering, Data Science, or a related field; a relevant graduate degree or professional certification is an advantage.
  • Proficiency with spreadsheets and analytical tools (e.g., Excel, SQL, BI tools); familiarity with pricing software or data platforms is beneficial.
  • Ability to work effectively in a hybrid environment, manage multiple projects, and collaborate with cross‑functional teams in a fast.
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