Perennial Resources International · 16 hours ago
Jr. AI Business Analyst
Perennial Resources International is a company seeking a Junior AI Business Analyst to enhance decision-making and efficiency through AI solutions. The role involves collaborating with business stakeholders and IT teams, gathering requirements, and supporting the implementation of AI-driven solutions in investment banking workflows.
ConsultingInformation Technology
Responsibilities
Partner with business stakeholders and IT teams to identify opportunities where AI can enhance decision-making, accuracy, and efficiency
Act as a bridge between technical teams and business users, ensuring clear communication and alignment throughout projects
Assist in preparing findings, documentation, and project updates
Requirements Gathering & Execution
Support the identification, documentation, and refinement of business requirements for AI-driven solutions
Participate in workshops, interviews, and working sessions with bankers to understand their workflows, pain points, and information needs
Translate business needs into actionable technical deliverables for engineering and data science teams
Analyze existing business processes to identify bottlenecks, manual tasks, and automation opportunities
Collaborate with data scientists and engineers to prototype, test, and iterate AI solutions (e.g., generative AI assistants, classification models, workflow automation)
Coordinate user acceptance testing (UAT), organize feedback sessions, and capture enhancement requests
Support the creation of user guides, training materials, and demos to drive adoption
Help define KPIs and success metrics for AI use cases (e.g., time savings, accuracy, revenue enablement, user satisfaction)
Support performance measurement and usage tracking for deployed AI solutions and summarize findings for stakeholders
Assist with documentation related to data quality, model governance, and controls in partnership with risk, legal, and compliance teams
Research emerging AI technologies (especially generative AI and automation platforms) and assess their relevance to investment banking workflows
Benchmark internal initiatives against external best practices and market trends in AI for financial services
Qualification
Required
Bachelor's Degree required, with preferred emphasis in Information Systems, Data Science/Analytics, Computer Science, Finance, or related field
1–2 years of experience as a Business Analyst, Data Analyst, or in a related technical or operations role
Strong analytical and problem-solving abilities; able to turn data and qualitative input into clear insights and recommendations
Excellent written and verbal communication skills; able to explain technical concepts in simple, business-friendly language
Comfort working with data in Excel or similar tools to structure analyses and summarize findings
Solid proficiency with Microsoft Office (Excel, PowerPoint, Word); experience building clear, executive-ready materials
Familiarity with generative AI tools and large language models (e.g., ChatGPT, Copilot, Gemini) and an interest in how they can be applied to real business workflows
Preferred
Experience within financial services or professional services is preferred but not required
Basic familiarity with Python, SQL, or data analytics tools (e.g., Power BI, Tableau) is preferred; willingness to learn is essential
Exposure to concepts such as prompt design, retrieval-augmented generation (RAG), or workflow automation platforms is a plus