ASC - Downstream Pricing Data Analytics

Our Client operates in the Oil and Energy industry, with its headquarters rooted strongly in Saudi Arabia. It has its branches spread to more than 50 countries, providing employment to more than 68,500 people all over the world. They fall under the Fortune 500 Companies. They are one of the world’s largest oil producers. They are constantly growing by creating new technologies through its Research and Development efforts and branch into new business lines through Investments and Acquisitions.

Responsibilities:

• Develop, maintain and continuously improve fit-for–purpose price forecast visualization tools.
• Consult with Pricing Insights and Market Analysis team and AEs to gather information on global events affecting energy/ oil & gas market and market trends.
• Gather data from forward curves of all crude and products, market premium or discount values, costs of freight and other elements of Transfer Prices.
• Compute transfer prices daily for M till M+3, according to the planning cycle.
• Coordinate with AEs & market insights for review and validation of prices to be issued
• Issue price forecast weekly to the AEs to ensure timely identification of opportunities, estimate uplift margins and serve as a basis for negotiations among stakeholders.
• Issue actual transfer prices on the last day of M-1 for M, to allow for timely review.
• Perform periodic lookback of TP forecasting quality and identify trends.
• Perform random checks and assist OAD to QA implemented prices on Standard and Non-Standard Cargoes.

Requirements:

• Bachelor Degree in Statistics, Commerce, Marketing, Engineering, Business Administration or closely related specialty.
• Post-graduate education or equivalent experience in MBA/ Statistics/Economics is desirable.
• Deep knowledge of model development and utilization of excel functions.
• Decent understanding of downstream business and supply chain.
• 5 to 10 years relevant professional experience (preferable in oil & gas downstream business), including several years in field as data analytics including market research, corporate planning, business development).
• Must have excellent communication and interpersonal skills and work effectively in cross functional teams.