Energy Market Strategy Lead: Forecasting & Analytics

Saudi Aramco (ASC)

Medina

On-site

SAR 600,000 - 900,000

Full time

2 days ago
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Job summary

Saudi Aramco (ASC) is seeking an experienced financial and energy market analyst to forecast oil prices and provide in-depth market insights. The role focuses on regulatory changes, data consistency, and strategic decision support across long-term horizons.

The candidate will translate complex energy data into actionable insights for internal reporting and management decisions, leveraging Python, MATLAB, and ERP tools. Leadership and cross-functional collaboration are essential.

Qualifications

  • Bachelor's degree required in Finance, Economics, Business Administration, Energy Management, or related field.
  • 10 years of experience in corporate finance, planning, strategy, or treasury roles within energy/oil and gas industries.

Responsibilities

  • Develop oil price forecasts across short, medium and long-term horizons.
  • Provide regular analytical reporting on energy market trends and regulatory/geopolitical impacts.
  • Assess impact of changes in international energy standards and regulations on reporting and decision-making.
  • Interpret supply-demand, inventory levels and global trade flows to identify trends and interdependencies.
  • Monitor international energy statistical methodologies and recommend improvements for consistency.

Skills

Energy market analysis
Financial modeling
Strategic thinking
Stakeholder management
Scenario analysis
Capital budgeting
Liquidity management

Education

Bachelor's degree in Finance, Economics, Business Administration, Energy Management, or related field
Master's degree in Finance, MBA, Economics, or related discipline

Tools

SAP
Hyperion
Python
R
MATLAB

Job description

Saudi Aramco (ASC) is seeking an experienced financial and energy market analyst to forecast oil prices and provide in-depth market insights. The role focuses on regulatory changes, data consistency, and strategic decision support across long-term horizons.

The candidate will translate complex energy data into actionable insights for internal reporting and management decisions, leveraging Python, MATLAB, and ERP tools. Leadership and cross-functional collaboration are essential.

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