Business Analytics Consultant | Associate Management

Description

We are seeking a highly skilled Business Analytics Consultant with a strong foundation in Generative AI and a keen interest in revolutionizing the Oil & Gas industry. You will be part of a fast-paced team focused on translating complex business requirements into actionable insights and AI-driven solutions for upstream processes. Responsibilities Collaborate closely with cross-functional teams, including data scientists, engineers, and domain experts, to identify and define business opportunities for AI applications Conduct in-depth analysis of existing upstream processes to uncover pain points, inefficiencies, and potential areas for improvement Develop and refine business use cases for generative AI, aligning them with strategic objectives and measurable outcomes Translate complex business requirements into clear and concise specifications for AI model development and deployment Define and track key performance indicators (KPIs) to measure the impact of AI solutions on business performance Collaborate with UI/UX designers to ensure that AI-driven solutions are user-friendly and meet the needs of end-users Stay up-to-date with the latest advancements in generative AI and evaluate their potential applications in the oil and gas industry Requirements At least 5 years of relevant experience in business analytics or related fields At least 2 years in Lead, Manager, Owner, Architect, or Coordinator roles At least 1 year of experience in leading a team of at least 5 employees Participation in at least 2 full cycle projects or several projects covering different phases of the development lifecycle Experience in business analysis with a focus on process improvement and data-driven decision making Proven experience working with generative AI models and their applications in a business context Strong understanding of the oil and gas industry, preferably with experience in upstream operations Proficiency in data analysis and visualization tools such as Python, SQL, Tableau, Power BI Excellent communication and interpersonal skills with the ability to explain complex technical concepts to non-technical stakeholders Strong problem-solving and analytical skills Excellent speaking and writing skills in English at a B2 level or higher Nice to have Experience with seismic data analysis Experience with agile development methodologies Knowledge of machine learning and deep learning concepts Familiarity with cloud platforms such as AWS, Azure, GCP

Requirements

• At least 5 years of relevant experience in business analytics or related fields

• At least 2 years in Lead, Manager, Owner, Architect, or Coordinator roles

• At least 1 year of experience in leading a team of at least 5 employees

• Participation in at least 2 full cycle projects or several projects covering different phases of the development lifecycle

• Experience in business analysis with a focus on process improvement and data-driven decision making

• Proven experience working with generative AI models and their applications in a business context

• Strong understanding of the oil and gas industry, preferably with experience in upstream operations

• Proficiency in data analysis and visualization tools such as Python, SQL, Tableau, Power BI

• Excellent communication and interpersonal skills with the ability to explain complex technical concepts to non-technical stakeholders

• Strong problem-solving and analytical skills

• Excellent speaking and writing skills in English at a B2 level or higher

Responsibilities

• Collaborate closely with cross-functional teams, including data scientists, engineers, and domain experts, to identify and define business opportunities for AI applications

• Conduct in-depth analysis of existing upstream processes to uncover pain points, inefficiencies, and potential areas for improvement

• Develop and refine business use cases for generative AI, aligning them with strategic objectives and measurable outcomes

• Translate complex business requirements into clear and concise specifications for AI model development and deployment

• Define and track key performance indicators (KPIs) to measure the impact of AI solutions on business performance

• Collaborate with UI/UX designers to ensure that AI-driven solutions are user-friendly and meet the needs of end-users

• Stay up-to-date with the latest advancements in generative AI and evaluate their potential applications in the oil and gas industry

Seniority

• Associate Management

Nice to have

• Experience with seismic data analysis

• Experience with agile development methodologies

• Knowledge of machine learning and deep learning concepts

• Familiarity with cloud platforms such as AWS, Azure, GCP