What you'll do:

• Collaborate with stakeholders to gather and analyze business requirements for computer vision and machine learning products.
• Translate business needs into technical specifications and user stories, ensuring alignment with project objectives.
• Work closely with technical teams (data scientists, engineers) to define project scope, deliverables, and timelines.
• Facilitate communication between cross-functional teams, including consultants, managers, and project teams, to ensure clarity and alignment on product requirements.
• Assist in project planning and management, including defining project milestones, resource allocation, and risk assessment.
• Conduct market research and analysis to identify industry trends, competitor analysis, and potential opportunities for leveraging computer vision and machine learning technologies.
• Develop and maintain project documentation, including requirements documents, specifications, user manuals, and training materials.
• Support quality assurance and testing activities, ensuring that products meet quality standards and functional requirements.
• Provide training and support to end-users and stakeholders, ensuring smooth adoption of new technologies.
• Actively participate in team meetings, workshops, and brainstorming sessions, contributing ideas and insights to drive project success.

What makes you a great fit:

• 2-3 years of experience in business analysis, preferably in the technology industry.
• Strong analytical skills, with the ability to gather, analyze, and interpret complex data.
• Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
• Proven track record of working in cross-functional teams and managing multiple projects simultaneously.
• Knowledge of project management methodologies (e.g., Agile, Scrum) and tools (e.g., JIRA, Trello).
• Familiarity with computer vision and machine learning concepts is a plus.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Visio).
• Ability to work independently with minimal supervision and thrive in a fast-paced, dynamic environment.