Systems Integration Senior Analyst

AI Business Analyst – Job Description 

Mandatory Requirements

• 5+ years of experience working as a Business Analyst or Systems Analyst in technology-driven environments.

• Strong understanding of AI/ML concepts , data-driven decision-making, analytics workflows, and modern digital platforms.

• Proven experience working across the product development lifecycle (requirements, design, UAT, go‑live, and post‑implementation support).

• Ability to understand, analyze, and translate complex business processes into functional and technical requirements .

• Strong analytical mindset with the ability to research, interpret, and present insights to drive business solutions.

• Excellent communication and interpersonal skills , capable of working with stakeholders at all organizational levels.

• Experience with data analysis , KPI definition, dashboarding, and converting analytical findings into business value.

• Familiarity with predictive modelling, AI solution use cases, automation opportunities, and workflow optimization.

• Experience collaborating with engineering, QA, data science, and product teams in fast-paced environments.

Responsibilities

Business Analysis & Requirements

• Elicit, gather, and document business requirements for AI, analytics, and automation initiatives.

• Convert business needs into functional specifications, user stories, process flows , and acceptance criteria.

• Serve as the bridge between business teams, AI/ML teams, product owners, and engineering .

• Participate in solutioning workshops to align business needs with technical capabilities.

AI/ML & Data Solution Support

• Work with data scientists to translate business challenges into AI/ML use cases and measurable outcomes.

• Assist in model validation, data quality checks, feature inputs, and business interpretation of model results.

• Help define KPIs, measurement criteria, and success metrics for AI-driven processes.

• Support development of analytics dashboards, reporting frameworks, and decision-support tools.

Project Execution & Collaboration

• Support solution design activities including process optimization, automation, and data transformation.

• Perform data analysis, validation, mapping, and transformation for system inputs/outputs.

• Participate in and support all testing cycles including functional testing, UAT, and regression .

• Develop user guides, training materials, and conduct stakeholder training sessions .

• Assist in project planning, tracking activities, documentation preparation, and project communication.

Implementation & Post-Implementation

• Support integrations between AI systems, enterprise platforms, and third-party applications.

• Monitor system performance, help troubleshoot issues, and recommend continuous improvements.

• Work with cross-functional teams to ensure smooth product rollouts and enhancements.

Key Skills

• Requirements analysis & documentation

• Process modelling (BPMN, flowcharts, user journeys)

• AI/ML concepts (basic understanding of models, data pipelines, automation logic)

• Data analysis & visualization (Excel, SQL, Power BI, Tableau)

• Agile methodologies, JIRA/Confluence

• Strong problem-solving and stakeholder management skills

• Ability to work independently and lead cross-functional discussions

Optional / Good-to-Have

• Experience in RPA, intelligent automation, or conversational AI.

• Background in product-based or platform-based solution design.

• Exposure to cloud platforms (Azure, AWS, GCP).

• Certifications in Business Analysis (CBAP, CCBA), Product Ownership, or Agile.