Business Analyst

MPH Abu Dhabi Emirate, United Arab Emirates

MPH Group has been serving the Oil & Gas, Energy, and Infrastructure industries for over 30 years and is one of the leading technical service providers for international projects of major operators and engineering companies worldwide.

Contract Type: MPH contract & sponsorship

• Engage with operations, engineering, and management stakeholders in Oil & Gas projects to understand business needs and identify opportunities where AI/ML can add value (e.g. predictive maintenance, production optimization, drilling performance).
• Define, document, and prioritize AI/ML use cases; develop business cases with cost-benefit and ROI analysis.
• Translate business requirements into technical specifications for Data Scientists and AI Engineers; define success metrics and KPIs linked to business objectives.
• Work with data teams to ensure high quality, relevant datasets: identify data sources, assess data integrity, clean, preprocess, and validate data.
• Support model development efforts by ensuring assumptions, constraints, and domain knowledge are properly communicated and incorporated.
• Assist in prototyping, testing, validating and deploying machine learning / AI models; ensure user acceptance, performance tracking, and continuous improvement.
• Develop dashboards and visualizations to present model results, insights, and recommendations to both technical and non-technical stakeholders.
• Monitor deployed models: evaluate performance, detect drift, manage versioning, suggest retraining or refinements as needed.
• Ensure compliance with safety, ethical standards, regulatory requirements, and corporate policies around AI usage, data privacy, bias, etc.
• Facilitate knowledge sharing and documentation: use cases, model behavior, limitations, lessons learned.

• Bachelor's degree in a quantitative, engineering, or technical field (e.g. Engineering, Computer Science, Data Science, Mathematics, Statistics). Master's / advanced degree is a plus.
• 6 years of experience in business analysis or product analytics, ideally in the Oil & Gas or energy sector; prior exposure to AI / ML projects.
• Strong analytical and quantitative skills; ability to work with large, complex data sets.
• Experience with tools and languages relevant to data science / AI workflows: SQL, Python / R, data visualization tools (Power BI, Tableau, etc.).
• Understanding of AI/ML concepts: model training, validation, overfitting/underfitting, metrics (precision, recall, ROC, etc.).
• Excellent communication skills: able to bridge between domain experts (engineers, geoscientists, operations) and technical teams; explain complex technical issues in business-friendly terms.
• Proven ability in requirements gathering, stakeholder management, creating functional spec documents, user stories, use cases.
• Experience in monitoring model performance, handling data quality issues, and iterative model improvement.
• Strong organizational skills, ability to manage multiple projects, priorities, and ambiguity.

• Competitive all-inclusive monthly AED package
• Single Sponsorship & MPH contract for the duration of assignment
• Opportunity to work on high impact projects in a dynamic, multinational environment
• Chance to extend beyond the initial 6 months based on project needs

Please note that there are nationality restrictions for work visa approval for certain nationalities. Candidates from the following nationalities will not be eligible under this policy:

• Afghanistan
• Libya
• Yemen
• Somalia
• Lebanon
• Cameroon
• Sudan
• Uganda
• Pakistan

The personal data contained in your CV/Resume are processed by MPH on the basis of its legitimate interest and for the sole purpose of the recruitment process. MPH ensures the confidentiality and security of such personal data, within and outside the European Union. The retention period of the personal data is two years starting from the latest update.

MPH is an equal opportunity employer. We encourage applications from all qualified individuals regardless of nationality, gender, or background.