Key Responsibilities

• Serve as the go-to person for product data analysis, validation, and reporting.
• Analyze user engagement across ShipIn’s applications (onboard and shore personas) to understand adoption, workflows, and value extraction.
• Build dashboards and reports to track KPIs, risk scores, and product usage across customers and fleets.
• Partner with Product Managers, Designers, and Engineers to identify bottlenecks, validate hypotheses, and optimize product performance.
• Ensure data quality and consistency across internal analytics sources.
• Conduct data-driven research on emerging product opportunities, identifying trends and correlations within ShipIn’s insights and risk scores for maritime insurance.
• Provide recommendations for new modules, features, or risk engineering tools tailored to the Maritime trends and needs.

Qualifications

• 4-6 years of experience in product analytics, BI, or data research roles, in SaaS, AI/ML-driven products, or data-rich enterprise applications.
• Hands-on expertise with SQL and product analytics tools (e.g., Looker, Mixpanel, Amplitude, Tableau, or similar); comfort with Python/R for deeper analysis.
• Strong analytical skills with the ability to translate raw data into business insights.
• Ability to design and track KPIs, funnels, and cohort analyses.
• Bachelor’s degree in a quantitative field (Data Science, Statistics, Engineering, Economics, or similar). Advanced degrees (MSc, PhD, MBA) are a plus.
• Strong communicator able to tell a story with data for both technical and business audiences.
• Curiosity and a proactive mindset in exploring patterns, anomalies, and new opportunities.
• Detail-oriented, highly analytical, and structured.
• Ability to work cross-functionally and balance execution with strategic thinking.

Nice if You Have

• Familiarity with maritime, industrial, Banking risk management or insurance industries is an advantage.
• Understanding of AI/ML concepts and risk scoring frameworks.