Junior-Mid AI Analyst

JOB OVERVIEW

We are seeking a Junior-Mid AI Analyst to act as a bridge between business stakeholders and technical delivery teams. This role is ideal for a strategic thinker who understands business workflows, possesses hands-on programming knowledge, and is passionate about applied AI/ML technologies. As a Junior–Mid Analyst, you will help identify business problems, explore client data, frame AI/ML use cases for technical teams, and ensure the final solution delivers a clear return on investment.

DUTIES AND RESPONSIBILITIES

• Work with clients and senior teammates to analyze business challenges, map workflows (service blueprints) to better understand customer journey in order to identify gaps and opportunities for AI/ML use cases.
• Proactively analyze and explore client data (or analogous public/ industry data) to identify key data
• sources, assess data quality, and determine data readiness for AI/ML initiatives.
• Define initial AI/ML project objectives, scope, and success metrics from a business perspective, ability to bridge AI and ML into the business statement.
• Create a concise summary of the project’s value, target users, and primary differentiation.
• Establish a clear vision board and define "In" vs. "Out" lists to manage expectations and prevent scope creep.
• Prioritize project constraints—Scope, Budget, Time, and Quality—to guide decision-making during the lifecycle.
• Help create "What’s Next" plans and ROI models to show the value of the AI project.
• Facilitate client workshops, interviews, and discovery sessions to elicit detailed functional and non-functional requirements for AI/ML solutions.
• Act as a primary liaison between client business stakeholders and the internal technical team.
• Collaborate closely with the Solution Architecture team to ensure business requirements are
• technically feasible and well-understood for rapid prototyping efforts.
• Contribute to the design and conceptualization of initial AI/ML solution architectures.
• Public speaking to educate potential clients on the transformative power of AI/ML, simplifying complex technical concepts into clear business benefits.
• Develop and deliver compelling presentations and proposals that articulate the value and ROI of AI/ML solutions.

QUALIFICATIONS AND EXPERIENCES

The "Must-Haves"

• Education: Minimum Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics ,Information Technology, Business Analytics, Artificial Intelligence, Information Systems or a related field.
• Experience: 2–4 years of experience in AI-related Business Analysis, Data Analysis, Technical Consulting, or a related field (consulting background preferred).
• Programming & Technical Literacy: Foundational programming skills (e.g., Python, SQL) for data manipulation, querying, and script-based data exploration.
• Applied AI/ML Knowledge: A solid conceptual understanding of modern AI paradigms—including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents.
• Analytical Mindset: Demonstrated ability to analyze unstructured business problems, identify root causes, and present clear solutions.
• Communication Skills: Strong written and verbal skills; ability to communicate technical ideas to non-technical stakeholders without heavy jargon.
• Agile Methodology: Experience working in fast-paced, iterative build-and-test environments.

The "Bonus Points"

• Technical Pivot: Background as a Junior Data Scientist, AI Engineer, or Software Developer looking to transition into a strategic, client-facing consulting role.

Working Hours

Monday to Friday, 8:30 AM – 5:30 PM