Collaborate with cross-functional teams including Product, Engineering, Design, Data, and Operations to deliver impactful product solutions.
Gather and analyze user, business, and operational requirements to define product improvements and new features.
Support the product lifecycle from ideation, planning, and execution to launch, monitoring, and continuous enhancement.
Use data and user insights to evaluate product performance, identify opportunities, and drive data-informed decisions.
Define and track key product metrics, conduct analyses, and provide actionable recommendations.
Prepare product documentation (PRDs), requirements, user stories, and process workflows to support development and implementation.
Coordinate with stakeholders to ensure timely delivery of product initiatives and feature releases.
Support operational excellence through monitoring, reporting, quality assurance, and process improvements.
Conduct market, competitor, and user research to identify trends and opportunities for product innovation.
Drive product adoption by supporting user training, documentation, and stakeholder engagement activities.
Requirements
Bachelor's degree or above in Business Analytics, Computer Science, Information Systems, Data Science, Economics, Mathematics, Engineering, or a related field.
Strong analytical, problem-solving, and critical thinking skills.
Data-driven mindset with the ability to derive insights from data and make informed recommendations.
Familiarity with SQL and data analysis tools; experience with Python, BI tools, or dashboarding platforms is a plus.
Excellent communication and stakeholder management skills.
Ability to work effectively in cross-functional teams and manage multiple priorities in a fast-paced environment.
Strong organizational skills and attention to detail.
Adaptable, proactive, and eager to learn new technologies and business domains.
Good To Have
Exposure to product management, product operations, business analytics, data products, or project management.
Experience with product metrics, A/B testing, user research, or data reporting.
Understanding of software development processes and agile methodologies.
Familiarity with e-commerce, digital products, AI-driven products, or data platforms.
Full-time interns preferred
Part-time interns who can commit at least 3 working days a week are also welcome to apply
