Revenue Operations Analyst

How You'll Help Us

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.

How We Will Help You

Joining our organization is an opportunity to grow a consulting career. We support development in business analysis, client delivery, facilitation, industry knowledge, product and agile practices, data and AI, change leadership, and relevant professional certifications. You will work with experienced colleagues, contribute to reusable consulting assets, and take on increasingly complex assignments as your capabilities grow.

Why the Role Is Important

Business Analysts are central to delivering outcomes that are valuable, usable, feasible, secure, responsible, and measurable. Your work helps clients define the right problem, align stakeholders, make trade‑offs, control scope, reduce delivery risk, and ensure that solutions work in real operating environments. At senior levels, you will also strengthen teams through mentoring, quality assurance, and thought leadership.

Core 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.

Required Qualifications

• 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.

Preferred Qualifications and Experience

• Relevant professional certification in business analysis, agile or product delivery, project management, change management, process improvement, data and analytics, or AI governance.
• Experience with application m