Decision Analysis Consultant

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Decision Analysis Consultant

mid · Consulting

Chevron ENGINE Decision Analysis Consultant (Bengaluru)

About the position

Chevron ENGINE has an exciting opportunity for Decision Analysis Consultant to join the ENGINE Innovation team; this role will be based in Chevron’s office in Bengaluru.

Chevron ENGINE supports global operations, and work hours are aligned to business needs. Standard working hours are 8:00 AM to 5:00 PM or 1:30 PM to 10:30 PM, Monday to Friday. These may evolve based on operational or business requirements.

Key Responsibilities

• Provide direct Decision and Economic Analysis consulting to support investment decisions and commercial negotiations across the globe in all parts of our business; ranging from upstream oil and gas to liquified natural gas (LNG), midstream, refining and lower carbon.
• Support globally based Decision Analysis (DAs) Consultants working on investment decisions by helping them frame opportunities, develop and refine decision and economic analysis models (ensuring accuracy & reliability), perform analysis, and develop communication materials.
• Application of DA Principles: Apply key principles, processes, and tools related to Decision Analysis, Investment Analysis, Framing, and Chevron Project Management requirements.  
• Economic and Cash Flow Modeling: Conduct detailed economic and cash flow modeling, ensuring robust and insightful financial analyses. Update, adapt and build decision models, with limited assistance, of medium complexity for different fiscal regimes while applying good DA/ economic modeling standards and best practices. Will require modeling of different fiscal and tax regimes such as production sharing contracts (PSC) and Joint Venture Agreements (JV’s); may require engagements with tax and legal departments. 
• Framing: Lead framing and decision-structuring sessions, ensuring all relevant factors are considered and integrated into models and decision-making tools. Utilize a variety of framing tools. Actively leads/ supports development, updating and customization of frame to specific opportunity.  
• Facilitation: Effectively facilitate complex and vague engagements with multifunctional participants to help shape outputs for understanding and application. Not just framing, but facilitation of any discussions required to help solve a complex challenge. This includes developing appropriate summaries & communication. 
• Data Elicitation and Coordination: Perform data elicitation, de-biasing, and coordinate information flow to support the data required for building and incorporating into models. This includes multiple sets of data to account for key uncertainties. Proactively identifies, communicates, obtains, QCs, and facilitates discussions to gain alignment on information needed. Helps coordinate flow of information from various SMEs and departments.  
• Analytical Skills: Perform qualitative, deterministic, and probabilistic analyses to generate insights for project teams and decision-makers. Will need to structure a DA evaluation and effectively select from and apply a variety of qualitative, deterministic and probabilistic tools and techniques to generate insights. This may include specialized analytical tools such as cumulative probability curves, tornado diagrams and value of information (VOI) studies.  
• Communication of Findings: Extract findings, insights and effectively communicate those insights, including presentations and project documentation, to ensure decision-makers have a clear understanding of the analysis and the tradeoffs important for the decision. Clarify the value of the minimum investment required and the incremental value of the enhancements.
• Decision Quality Assurance: Participate in Decision Quality (DQ) assurance activities, including Model Reviews, to ensure the accuracy and reliability of the analysis. Challenges assumptions, inputs, values & trade-offs, and decisions when needed to ensure high DQ. 

About you

• Education: Prefer a higher education degree in business, economics or finance with an undergraduate degree in a technical area (such as engineering).
• Work Experience: Minimum of 5 years, 10 years preferred.
• The ideal candidate will have experience in the upstream oil and gas industry.
• Excellent communication skills; including verbal, written and presentation.
• Experience and comfort using AI tools, developing agents is a plus.  
• Advanced skills in Microsoft Office, particularly Excel, PowerPoint, Outlook, and Word. Prefer experience writing complex formulas and equations into Excel. Basic knowledge of decision tree concepts and software is advantageous.
• High proficiency in Excel, including development of complex formulas and equations. Strong understanding of economics, cash flow modeling, tax, and depreciation. Capability to structure and manipulate data for analyses and apply decision principles and tools effectively. Good understanding of basic framing concepts and consideration of uncertainty and risk in analyses. Exposure to various analytical tools is a plus, such as cumulative probability curves (S-curves), Investment Efficiency Charts, and Tornado Diagrams. Able to synthesize complex analysis and results into clear insights for leadership discussions and decision making. Able to utilize communication tools such as MS PowerPoint to summarize and present insights. 
• Able to identify problems, view them from different angles, and figure out possible solutions. Must be able to facilitate discussions and solicit inputs from various technical and business functions to perform the necessary analysis to identify and recommend solutions.  
• Team-work is essential for this role. Must be able to work between diverse teams and departments across the organization. This includes engineering, scientists, legal, tax, finance and commercial roles.
• Ability to develop detailed action plans and work independently with minimal supervision. Capability to collect, summarize, and structure information. Competence in developing resolution options within the framework of professional duties.
• Ability to assess personal strengths and weaknesses and take practical steps for personal development.
• Willingness to share work experience and information with colleagues to achieve corporate goals.
• Clear and structured communication, both in written and verbal form, is vital for success in this role. Being comfortable in a dynamic environment where assignments can vary and change on a regular basis. 

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