Business Analyst

Validates foundational understanding of AI, ML, and generative AI concepts and responsible use, including selecting appropriate AWS AI services for business use cases.

Assesses business-focused knowledge of generative AI concepts and Google Cloud gen AI offerings, including selecting use cases, improving model output, and driving secure and responsible adoption across an organization.

Validates ability to implement, orchestrate, and operate data pipelines on AWS, including selecting data stores, managing schemas/lifecycles, ensuring data quality, and applying security and governance best practices.

Assesses the ability to apply agile principles and practices across frameworks to lead teams, manage product work, and deliver value using iterative delivery, feedback, and continuous improvement.

Assesses knowledge of U.S. privacy law and practice, including the U.S. legal and enforcement environment, major federal and state privacy laws, government/court access to data, and workplace privacy issues.

Assesses competence in financial reporting decisions, planning and budgeting, performance and cost management, internal controls, and technology/analytics used in management accounting.

Assesses advanced competence to build, run, and improve an organization’s privacy program across governance, data assessment, protection controls, ongoing performance, and response to data subject requests and incidents.

Assesses competence in business analysis activities on projects, including needs assessment, planning, requirements analysis, traceability/monitoring, and evaluating solution outcomes against business needs.

Validates foundational knowledge of the AWS Cloud, including cloud concepts, security and compliance, core services and use cases, and AWS billing, pricing, and support resources.

Validates advanced knowledge of European data protection law, GDPR concepts, governance, accountability, enforcement, and practical compliance across common processing contexts and international transfers.

Assesses entry- and associate-level knowledge of project management fundamentals, predictive and adaptive approaches, and business analysis practices used by project team members across common project environments.

Assesses the competencies of professionals who lead and direct projects, including people leadership, project delivery processes, and alignment with business environment needs across predictive, agile, and hybrid approaches.

Assesses competence to plan and perform IS audits, evaluate governance and controls, review systems lifecycle activities, and assess operations, resilience, and protection of information assets.

Assesses a portfolio manager’s ability to align, govern, and manage a portfolio of programs, projects, and operations to achieve organizational strategic objectives, including performance, risk, and stakeholder communications.

Assesses advanced competence in strategic financial management, including analysis of financial statements, corporate finance, decision analysis, risk management, capital investment, and professional ethics.

Assesses foundational knowledge of AI and machine learning concepts and how they map to Azure AI services, including responsible AI, computer vision, NLP, and generative AI workloads.