Job Description:
• Conduct quantitative and qualitative analysis of structured and unstructured data to uncover customer needs and market trends.
• Support evaluation of our SaaS and DaaS offerings to identify opportunities for optimization in product performance, commercialization, and go-to-market execution.
• Synthesize insights into clear recommendations that inform product strategy and positioning.
• Collaborate with cross-functional teams to test hypotheses, validate customer feedback, and measure success metrics.
• Assist in building dashboards, reports, and presentations to communicate findings to stakeholders.
• Performs other duties as assigned.
Requirements:
• Currently enrolled in a Bachelor’s or Master’s degree program in Business, Economics, Data Science, Engineering, or a related field.
• Strong analytical and problem-solving skills with proficiency in Excel, Python, SQL, or data visualization tools (e.g., Power BI, Tableau, Looker).
• Experience working with unstructured data (e.g., text, customer feedback, open-ended survey responses) is an asset.
• Understanding of marketplaces such as Databricks
• Excellent communication and synthesis skills — able to translate data into meaningful business insights.
• Interest in SaaS, DaaS, and digital product strategy.
• Self-motivated, curious, and eager to learn in a fast-paced environment.
Benefits:
• Hands-on experience in data-driven product analysis and commercialization strategy.
• Exposure to SaaS and DaaS product management processes.
• Mentorship from experienced product and strategy professionals.
• The opportunity to make meaningful contributions to live business initiatives.