About noon
noon, the region's leading consumer commerce platform. On December 12th, 2017, noon launched its consumer platform in Saudi Arabia and the UAE, expanding to Egypt in February 2019. The noon ecosystem of services now marketplaces for food delivery, quick commerce, fintech, and fashion. noon is a work in progress; we're six years in, but only 5% done.
noon's mission: Every door, every day
About noon Food
Noon Food is a restaurant-first platform on the noon app, offering fair commissions, a sustainable program, and operating flexibility for the food and beverage industry in the Middle East. The most recent addition to the noon ecosystem, the noon Food mission is to revolutionize the F&B delivery landscape, firmly putting the control and success back in the hands of retailers.
Role Overview
We are seeking a Product Analyst to partner closely with Product, Design, and Engineering teams to drive data-informed product decisions. You will work hands-on with large datasets to uncover insights that improve user adoption, engagement, and business outcomes.
Beyond core product analytics, this role requires strong proficiency in Python and a foundational understanding of Large Language Models (LLMs). You will use these skills to deepen analysis, automate workflows, and prototype AI-assisted analytical use casesmoving beyond what happened to why it happened and what to do next.
Key Responsibilities
Product Insights & Experimentation
- Deliver diagnostic and prescriptive insights by identifying root causes behind changes in key product metrics.
- Analyze end-to-end user journeys and funnels to identify friction points and growth opportunities.
- Evaluate the impact of product features, UX changes, and launches using clearly defined success metrics.
- Design and analyze A/B tests in partnership with Product Managers, ensuring statistical rigor and clear recommendations.
- Define and maintain core product metrics (North Star, leading indicators, feature KPIs).
Advanced Analytics & AI Enablement
- Use Python (pandas, numpy, notebooks) for deep-dive analysis, exploratory work, and rapid prototyping.
- Build lightweight Python workflows to automate recurring analyses, experiment readouts, and reporting.
- Apply LLMs for exploratory analysis and qualitative insights (e.g., user feedback, support tickets).
- Prototype basic LLM-powered internal tools such as automated insight summaries or analytics copilots, while applying sound analytical judgment.
Data Foundations & Communication
- Build scalable datasets and self-serve metrics for Product Managers and stakeholders.
- Partner with Product and Engineering to define event tracking and ensure data quality.
- Create clear dashboards and communicate insights through crisp, decision-oriented narratives.
Required Qualifications
- Experience: 2+ years in Product Analytics, Business Analytics, or a related role in a product-driven environment.
- Product & Business Acumen: Strong intuition for how product changes impact user behavior and business metrics.
- SQL: Strong proficiency with large datasets and complex queries.
- Python: Hands-on experience with pandas/numpy and notebook-based analysis; ability to build quick analytical prototypes.
- LLM Fundamentals: Basic understanding of LLMs, prompting, limitations, and trade-offs; experience using LLM tools or APIs is a plus.
- Experimentation: Solid understanding of A/B testing and statistical concepts.
- Visualization: Experience with tools like Tableau, PowerBI, Looker, or similar, with a focus on clarity and storytelling.
Nice to Have
- Hands-on experience applying LLMs to real product or analytics problems.
- Familiarity with embeddings, semantic search, or basic NLP techniques.
- Experience working in cross-functional product teams.
- Exposure to experimentation or feature-flagging platforms.
- Experience mentoring junior analysts.
