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Data Scientist Commercial Analytics & Insights

Data Scientist Commercial Analytics & Insights

Confidential Career Solutions
4-7 Years
Not Disclosed
  • Posted 22 hours ago
  • Be among the first 10 applicants

Job Description

Data Scientist – Commercial Analytics & Insights

Location: Riyadh

Employment Type: Full-Time

Industry: Retail.

Are you passionate about turning complex data into strategic business decisions We are looking for a highly analytical and commercially minded Data Scientist – Commercial Analytics & Insights to join our team and play a key role in driving revenue growth, pricing optimization, customer insights, and profitability.

Key Responsibilities

  • Design, build, and own a comprehensive Commercial Analytics Engine that integrates pricing, customer, operational, and financial data.
  • Develop pricing and revenue optimization models to support commercial strategies and business growth.
  • Analyze customer behavior, retention, utilization, and lifetime value to identify opportunities for improvement.
  • Build predictive models, simulations, and scenario analyses to support executive decision-making.
  • Create interactive dashboards and present actionable insights to senior leadership.
  • Automate reporting and analytics processes to enhance efficiency and business visibility.

What We're Looking For

  • Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, Finance, Economics, or a related field.
  • 4-7 years of experience in Data Science, Commercial Analytics, Business Intelligence, Revenue Management, or related analytical roles.
  • Experience presenting insights and recommendations to senior leadership.
  • Experience linking commercial and operational KPIs to financial performance and profitability.
  • Exposure to cloud based data platforms such as Snowflake, Azure Synapse, BigQuery, or Redshift.

Strong expertise in:

  • Python or R
  • SQL
  • Power BI or Tableau
  • Statistical and predictive modeling
  • Revenue and pricing analytics

More Info

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Key Skills

Python or R

Statistical and predictive modeling

Power BI or Tableau

Revenue and pricing analytics