Required Skills:
- Business Analysis
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Agile/Scrum
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Process Modelling
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Stakeholder Management
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API & Integration Analysis
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SIT/UAT Testing
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Data Analysis & SQL
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Enterprise Architecture
Nice to Have:
- AI & Conversational AI
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Microsoft Power Platform
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Knowledge Management
Qualification | Bachelor's degree in Computer Science, Information Systems, Engineering, Business Information Systems, or a related field. Experience (in years) | 5 Contract Duration (in months) | 6 Job Description | Role Summary The Technical Analyst serves as the critical link between business requirements, product teams, architects, UX specialists, developers, and platform teams within the CME program. The role is responsible for translating business needs into technical requirements, supporting solution design, driving backlog readiness, validating delivered solutions, and ensuring successful implementation of AI-powered employee experience capabilities. The Technical Analyst works across multiple workstreams to ensure solutions are scalable, aligned to enterprise standards, and deliver measurable business value. Key Responsibilities Requirements & Analysis Gather, analyze, and document business, functional, and technical requirements. Facilitate requirement workshops and stakeholder discussions. Translate business requirements into user stories, process flows, functional specifications, and acceptance criteria. Perform process mapping, impact assessments, and gap analysis. Ensure requirements are complete, consistent, traceable, and ready for development. Solution Design Support Collaborate with Product Owners, Architects, UX teams, and Engineering teams on solution design. Document end-to-end business processes, system interactions, and integration requirements. Identify technical dependencies, assumptions, constraints, and risks. Support design reviews and ensure solutions align with enterprise architecture, security, compliance, and governance standards. Evaluate solution options and provide recommendations based on technical feasibility and business needs. Agile Delivery Support Participate in backlog refinement, sprint planning, reviews, and retrospectives. Ensure development teams have sufficient clarity to execute requirements. Support prioritization discussions and backlog readiness activities. Track requirements throughout the delivery lifecycle and manage requirement changes. Partner with delivery teams to resolve functional and technical questions during implementation. Testing & Quality Assurance Define test scenarios, test cases, and validation criteria. Support System Integration Testing (SIT), User Acceptance Testing (UAT), and business validation activities. Validate delivered solutions against requirements and acceptance criteria. Assist with defect triage, root cause analysis, and resolution tracking. Support release readiness activities and production deployment validation. Data, Analytics & AI Enablement Support the analysis and design of AI-driven employee experience and conversational use cases. Define reporting, analytics, and data requirements with business stakeholders. Collaborate with analytics teams to establish KPIs, dashboards, and adoption metrics. Analyze user behavior, platform performance, and business outcomes to identify improvement opportunities. Contribute to continuous optimization of AI and digital experience solutions. Stakeholder Management Act as the primary liaison between business and technical teams. Facilitate workshops, requirement reviews, solution walkthroughs, and design sessions. Communicate requirements status, risks, dependencies, and impacts to stakeholders. Build strong working relationships across Product, HR, Digital, Architecture, AI, Engineering, UX, and Change Management teams. Support senior leadership reviews by providing analysis, insights, and status updates. Key Outcomes High-quality and actionable technical requirements. Well-defined and prioritized backlog ready for development. Reduced delivery rework caused by requirement gaps. Improved visibility of dependencies, risks, and technical impacts. Successful delivery of CME capabilities aligned with business objectives. Strong collaboration between business and technical stakeholders. Improved solution quality, adoption, and user experience. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, Business Information Systems, or a related field. 4–8 years of experience in Technical Analysis, Business Analysis, Product Analysis, or Systems Analysis roles. Experience working in Agile and Scrum delivery environments. Experience supporting enterprise applications, digital transformation initiatives, or employee experience platforms. Strong analytical, documentation, and problem-solving skills. Technical Skills Requirements gathering and management. User story and acceptance criteria development. Business process modelling and workflow design. API and integration analysis. Data analysis and reporting. Experience with Agile delivery tools such as Azure DevOps or Jira. Understanding of enterprise application architecture and system integrations. Exposure to AI, GenAI, Conversational AI, Copilot Studio, Microsoft 365, Power Platform, HR systems, or similar technologies is preferred. Behavioral Competencies Strong communication and stakeholder management skills. Structured and analytical thinking. Ability to navigate ambiguity and complex cross-functional environments. Strong collaboration and facilitation capabilities. Attention to detail and commitment to quality. Proactive, ownership-driven mindset with a focus on outcomes and execution. Preferred Experience Experience working on AI-powered employee experience platforms or digital workplace solutions. Exposure to conversational AI, virtual assistants, knowledge management, or enterprise search solutions. Experience working across Product, Architecture, UX, Engineering, Data, and Business functions. Experience operating in global, matrixed organizations with multiple stakeholder groups. Skill Set Required | Functional & Business Analysis Requirements gathering and elicitation Business process analysis and process mapping User story creation and backlog management Functional and technical documentation Gap analysis and impact assessment Acceptance criteria definition Stakeholder workshop facilitation Technical Skills API and system integration understanding Data modelling and data analysis Enterprise application architecture fundamentals SQL and data querying basics Process modelling tools (Visio, Lucidchart, Miro, etc.) Agile tools such as Azure DevOps, Jira, Confluence Testing lifecycle understanding (SIT, UAT, Regression Testing) Knowledge of cloud-based enterprise applications and integrations AI & Digital Skills (Preferred) Generative AI and Conversational AI concepts Microsoft Copilot Studio Microsoft Power Platform Microsoft 365 ecosystem Enterprise Search solutions Knowledge Management solutions Prompt engineering fundamentals AI adoption and analytics concepts Project & Delivery Skills Agile / Scrum methodologies Sprint planning and backlog refinement Risk and dependency management Release readiness and production deployment support Cross-functional delivery coordination Change request and scope management Stakeholder & Communication Skills Strong verbal and written communication Executive-ready documentation and presentations Stakeholder management across business and technical teams Workshop facilitation and requirement discovery sessions Conflict resolution and consensus building Ability to translate technical concepts for non-technical audiences Analytical & Problem-Solving Skills Critical thinking and root cause analysis Structured problem solving Data-driven decision making Attention to detail Ability to manage ambiguity Strong organizational and prioritization skills
