Business Analyst Consultant

Website Talentmate

About Us 

Talentmate, headquartered in Abu Dhabi, United Arab Emirates, is a trusted talent solutions provider dedicated to connecting organizations with skilled professionals. We specialize in recruitment and workforce solutions that align business needs with individual career aspirations. With a strong focus on integrity, professionalism, and innovation, we aim to deliver sustainable value to clients and candidates alike. Our expertise spans multiple industries, enabling us to provide tailored hiring strategies and effective workforce support. By combining market knowledge with a people-centric approach, Talentmate continues to strengthen partnerships, empower careers, and contribute to the development of organizations across the region.

Culture and Work Environment 

We foster a culture built on collaboration, respect, and accountability. Our team thrives in an environment that values continuous learning, innovation, and shared success. At Talentmate, employees are encouraged to develop professionally, contribute ideas, and work collectively to deliver meaningful outcomes for clients, candidates, and communities.

Why Work With Us 

Working with Talentmate means being part of an organization that values people, growth, and long-term success. We offer opportunities to contribute to impactful projects, develop expertise, and build meaningful connections. Our commitment to professionalism and employee development makes Talentmate a rewarding place to shape your career.

www.talentmate.com

Job description For Business Analyst Consultant

Collaborate with stakeholders to gather, analyze, and document detailed business and system requirements. Map and design low-level processes, integrating upstream and downstream systems to ensure seamless end-to-end workflows. Develop functional and non-functional requirements, specifying inputs, outputs, and interactions across various touchpoints. Create comprehensive process models, workflows, and system architecture documentation to guide development teams. Serve as the liaison between business units and technical teams to ensure clear understanding and proper implementation of requirements. Perform impact analysis and risk assessments on proposed changes to processes or systems. Support user acceptance testing and validation of solutions to meet business objectives. Continuously evaluate and improve business processes and system functionalities for optimum efficiency. Maintain up-to-date knowledge of the evolving data ecosystem, AI system integrations, and best practices in business analysis. Who You Are You re good at what you do and possess the required experience to prove it. However, equally as important you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused someone who prioritizes customer success in their work. And finally, you re open and borderless naturally inclusive in how you work with others. Required Qualifications Bachelor s degree in Computer Science, Engineering, Information Systems, or related technical field. Proven expertise in business analysis frameworks, methodologies, and techniques for requirements elicitation, journey mapping, and process design. Extensive experience in creating detailed business requirement specifications for data platforms and AI systems integration (minimum 10+ years). Proficient in defining inputs and outputs across multiple process touchpoints, ensuring comprehensive integration of functional and non-functional requirements. Strong understanding of modern data ecosystems and architectures, including data governance and data quality considerations. Demonstrated ability to integrate upstream and downstream processes and systems to deliver end-to-end solutions. Solid industry knowledge relevant to enterprise data management and AI-powered business solutions. Exceptional team collaboration skills with a track record of working effectively with cross-functional teams. Excellent analytical, problem-solving, and communication abilities. Preferred Qualifications Language preference: Arabic speaker Hands-on experience with requirements gathering techniques, business process re-engineering, and documentation standards. Familiarity with DevOps and MLOps frameworks and their role in continuous integration and deployment for data and AI systems. Knowledge of data science algorithms and their practical application within business environments. Cloud computing expertise, especially in designing and architecting solutions using cloud-native services. Strong architecture skills, with the ability to translate business needs into scalable, maintainable technical solutions. Outstanding communication and organizational skills capable of managing multiple priorities and stakeholder expectations.
Required Qualifications Bachelor s degree in Computer Science, Engineering, Information Systems, or related technical field. Proven expertise in business analysis frameworks, methodologies, and techniques for requirements elicitation, journey mapping, and process design. Extensive experience in creating detailed business requirement specifications for data platforms and AI systems integration (minimum 10+ years). Proficient in defining inputs and outputs across multiple process touchpoints, ensuring comprehensive integration of functional and non-functional requirements. Strong understanding of modern data ecosystems and architectures, including data governance and data quality considerations. Demonstrated ability to integrate upstream and downstream processes and systems to deliver end-to-end solutions. Solid industry knowledge relevant to enterprise data management and AI-powered business solutions. Exceptional team collaboration skills with a track record of working effectively with cross-functional teams. Excellent analytical, problem-solving, and communication abilities. Preferred Qualifications Language preference: Arabic speaker Hands-on experience with requirements gathering techniques, business process re-engineering, and documentation standards. Familiarity with DevOps and MLOps frameworks and their role in continuous integration and deployment for data and AI systems. Knowledge of data science algorithms and their practical application within business environments. Cloud computing expertise, especially in designing and architecting solutions using cloud-native services. Strong architecture skills, with the ability to translate business needs into scalable, maintainable technical solutions. Outstanding communication and organizational skills capable of managing multiple priorities and stakeholder expectations.

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