via Remote Rocketship
$40K - 70K a year
Analyze structured and unstructured data to generate insights and support product strategy, creating reports and dashboards.
Currently enrolled in a relevant degree program, proficient in Python, SQL, data visualization, and experienced with unstructured data.
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.
This job posting was last updated on 12/12/2025