Business Analyst

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 includes 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.

NUB : Fugistics

What you'll do:

As Business Analyst, you’ll be responsible for generating end to end dashboards for Logistics and Fulfillment of Noon Core. This isn't just about reporting; it’s about building the analytical engine that powers our Fulfillment & logistics and finding avenues of cost optimization.

You will be responsible for the full data lifecycle: pulling raw data from BigQuery, performing rapid analysis in Google Sheets/python, and using predictive models to project future costs and performance trends. If you are a builder who can turn messy datasets into automated, predictive insights that guide high-stakes business decisions, this role is for you.

Key Responsibilities:

• Architect Data Flows: Write and refine complex BigQuery SQL to extract and clean data from multiple systems, ensuring it is "science-ready."
• Visualize Performance: Design and maintain high-impact Looker Studio dashboards that track unit economics, productivity, and logistics cost layers.
• Bridge Analysis & Science: Use Google Sheets for rapid ad-hoc tasks and models
• Drive Automation: Eliminate manual toil by writing Python scripts to automate recurring data pulls, report generation, and real-time alerts for cost anomalies.

What you’ll need:

• 3–5 years of experience in business analytics
• SQL Power User: Expert-level BigQuery skills
• Google sheets specialist : Advanced knowledge of Formulas and Google App Script
• Visualization Expert: Deep experience with Looker Studio (Data Studio) and advanced Google Sheets.
• Knowledge in Python: Proficiency in Python is a major plus, specifically for applying Data Science techniques and building predictive models.

Who Will Excel

• The Scientific Operator: Someone who’s excited by data representation across SQL, Python, and Sheets, who prides in building elaborate accurate models
• Automation-First Thinkers: Professionals who hate doing the same task twice and prefer to automate it forever
• Curiosity to Learn: An insatiable drive to master new technical skills and a deep interest in uncovering the business logic behind every data point.
• Ambiguity Solvers: Analysts who can take a vague business problem and translate it into a structured data experiment.

Why Join Us?

• Build from Scratch: Move beyond legacy reporting and get an opportunity to analyse the supply chain models from ground up
• Scale with Speed: Work in a high-velocity environment where your models directly impact unit economics and bottom-line profitability.
• High Ownership: You own the stack—from the SQL query to the Gsheets/Python prediction—giving you a direct seat at the strategy table.