Data Scientist – Commercial Analytics & Insights

Confidential Careers; Riyadh; On-site; SAR 240,000 - 420,000; Full time

Job summary

Confidential Careers invites a results-driven Data Scientist to join our Commercial Analytics & Insights team in Riyadh. This role focuses on turning data into strategic actions that drive revenue growth, pricing optimization, and profitability.

You will build an analytics engine, develop pricing models, and deliver dashboards and insights for senior executives using cloud platforms.

Qualifications

• Bachelor's degree required in a data-related field.
• 4–7 years of experience in Data Science, Commercial Analytics, BI, or related roles.
• Experience presenting insights to senior leadership and tying KPIs to profitability.

Responsibilities

• Design, build, and own a Commercial Analytics Engine integrating multiple data sources.
• Develop pricing and revenue optimization models to support growth.
• Analyze customer behavior, retention, and lifetime value to identify opportunities.
• Build predictive models and scenario analyses for executive decisions.
• Create interactive dashboards and present insights to senior leadership.
• Automate reporting and analytics processes to improve efficiency.

Education

Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, Finance, Economics, or a related field

Tools

Snowflake

Azure Synapse

BigQuery

Redshift

Job description

Data Scientist – Commercial Analytics & Insights

Location: Riyadh

Employment Type: Full-Time

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.