Product Insights Analyst

February 23

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Logo of Sortly

Sortly

Sortly is a comprehensive inventory management software designed to streamline the process of tracking and managing business inventory. It offers a user-friendly mobile app that allows businesses to track inventory from any device and location. The platform features QR code and barcode scanning, real-time alerts for low stock, and powerful reporting capabilities. Sortly can integrate with other platforms for enhanced efficiency and is suitable for various industries, including construction, medical, warehouse, education, and non-profit sectors. Its easy-to-use interface makes it an excellent solution for small businesses looking to organize and automate their inventory management processes.

51 - 200 employees

Founded 2012

☁️ SaaS

⚡ Productivity

🤝 B2B

📋 Description

• Design and implement tracking events in tools like Amplitude; build and refine dashboards, funnels, and user segments • Collaborate with product teams to design and interpret A/B tests, ensuring statistical rigor • Present complex data insights to both technical and non-technical stakeholders using tools like Tableau, Looker, or Power BI • Partner with cross-functional teams to align data insights with strategic goals, driving user onboarding, activation, and retention • Solve ambiguous data problems, combining quantitative and qualitative insights to propose actionable solutions • Integrate AI tools (e.g., ChatGPT) to enhance analysis, maintaining ethical standards and data integrity • Continuously iterate and improve analytical frameworks as the product evolves

🎯 Requirements

• Experience with product analytics (Amplitude Analytics experience a plus) • Proven track record in A/B testing, experimental design, and data analysis (Amplitude Experiment experience a plus) • Skilled in data storytelling, with experience presenting insights to diverse audiences • Collaborative mindset with the ability to align data insights with business objectives • Comfortable navigating ambiguous data and proposing actionable solutions • Open to using AI and modern tools to streamline workflows and improve efficiency • Strong analytical skills with proficiency in SQL (Python, or R a plus); solid understanding of statistical concepts (e.g., hypothesis testing, confidence intervals)

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