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About the Role
As a consulting Business Analyst, you will help clients move from an identified problem or opportunity to a clear, valuable, and implementable change. You will connect business strategy, operations, people, data, and technology; reduce ambiguity; and help delivery teams make informed decisions from discovery through implementation and value realization. You will adapt your business analysis approach to the assignment - predictive/waterfall, agile/iterative, or hybrid - and produce the level of documentation, traceability, governance, and collaboration needed for the client context. Depending on level, you may contribute as an analyst, own a workstream, lead business analysis across a program, or serve as an enterprise advisor and subject-matter expert.
Responsibilities
- Facilitate interviews and workshops, align stakeholders, surface risks, and turn ambiguity into clear decisions.
- Clarify the problem, scope, value measures, success criteria, options, and recommended path.
- Map current and future states and assess impacts across people, process, data, technology, and controls.
- Elicit, prioritize, validate, document, and trace requirements using fit-for-purpose models, stories, use cases, and acceptance criteria.
- Tailor analysis to agile, waterfall, or hybrid delivery while managing scope, dependencies, decisions, and change.
- Partner across business and technology to support solution assessment, testing, UAT, implementation, training, and benefits realization.
- Use approved AI tools to accelerate analysis, and define value, data, oversight, evaluation, privacy, security, and monitoring needs for AI-enabled solutions.
- Communicate clearly, uphold quality, share reusable assets, and, at senior levels, mentor analysts and shape client solutions.
Requirements
- Bachelor's degree in business, technology, information systems, design, social sciences, or a related field, or an equivalent combination of education, training, and relevant experience.
- Knowledge of business analysis planning, elicitation, stakeholder engagement, requirements lifecycle management, strategy and process analysis, solution evaluation, and change support.
- Ability to enter a new environment, learn quickly, work with ambiguity, establish trust, remain objective, and focus on client outcomes.
- Strong written, verbal, visual, facilitation, presentation, negotiation, and active-listening skills; able to translate between business and technical audiences.
- Strong critical thinking, systems thinking, problem solving, research, synthesis, attention to detail, and decision-support skills.
- Working knowledge of predictive/waterfall, agile/iterative, and hybrid delivery approaches and the ability to tailor analysis practices accordingly.
- Understanding of systems, data, interfaces, integration, security, privacy, testing, implementation, and operational support sufficient to collaborate effectively with technical specialists.
- Proficiency with common collaboration, documentation, presentation, process modelling, diagramming, requirements or backlog management, and spreadsheet tools; ability to learn client-specific platforms quickly.
- Ability to organize complex information, manage competing priorities, raise concerns respectfully, protect confidential information, and deliver reliable work with appropriate independence.
- Foundational understanding of generative AI and AI-enabled solutions, including benefits, limitations, data needs, evaluation, responsible-use considerations, and the requirement to validate outputs.
Skills
- Business analysis
- Client delivery
- Facilitation
- Industry knowledge
- Product and agile practices
- Data and AI
- Change leadership
- Professional certifications
- Process modelling
- UML
- Requirements or backlog tools
- Prototyping
- Reporting
- Data visualization
- Procurement
- RFI/RFP
- Vendor selection
- Fit-gap analysis
- Implementation partners
- Third-party providers
- Change management
- Project management
- Program management
- Product management
- Service design
- Enterprise architecture
- Quality assurance
- Generative AI
- AI-enabled solutions
Location
- Remote
Work Type
- Remote
- Full-time
Experience Level
- 3-6 years
- Senior levels
Education Level
- Bachelor's degree in business, technology, information systems, design, social sciences, or a related field
- Relevant professional certification in business analysis, agile or product delivery, project management, change management, process improvement, data and analytics, or AI governance
Salary/Compensations
- CAD $83,334 - $120,615
Benefits
- Opportunity to grow a consulting career
- Support for development in business analysis, client delivery, facilitation, industry knowledge, product and agile practices, data and AI, change leadership, and relevant professional certifications
- Work with experienced colleagues
- Contribute to reusable consulting assets
- Take on increasingly complex assignments
- May be eligible for incentive compensation based on individual and/or company performance
About the Company
- At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees are key to our growth, our market presence, and our ability to help clients stay ahead. By hiring talented people and helping them grow professionally and personally, we create a bright future for NTT DATA and for the people who work here.
Equal Opportunity
- Where required by law, NTT DATA provides a reasonable range of compensation for specific roles.