Product Analyst

About the role

Noon is expanding a digital ecosystem that supports everyday life across the Middle East with fast, scalable, customer-first products and services. The company’s core purpose is to reach every customer, every day, and it is looking for a Product Analyst to help accelerate that mission.

Noon Minutes, the company’s quickest hyper-local delivery offering, provides FMCG and grocery items with 15-minute delivery. It is currently operating in the UAE and Saudi Arabia with a wide assortment of products delivered in record time.

What you will do

• Build strong subject-matter expertise in the supply chain product area for your squad to uncover customer friction points and identify product improvement opportunities.
• Work closely with Product Managers, Engineers, and Operations teams to interpret business needs and assess how well new features are performing.
• Use data to guide decisions by defining important metrics, monitoring performance, and studying operational trends across the supply chain.
• Plan and execute experiments, including A/B tests, to test assumptions and improve product results.
• Create dashboards and turn findings into practical insights that shape product strategy and improve operational efficiency.
• Investigate operational issues through root cause analysis using structured data and customer feedback.
• Convert both qualitative and quantitative observations into product recommendations that strengthen user experience and business outcomes.

What you need

• Solid understanding of user-centered design principles and methods, with substantial experience applying them in complex environments.
• Strong communication and teamwork skills, with the ability to work effectively across varied and cross-functional groups.
• Proven ability to solve difficult design problems and deliver user experiences that are intuitive and impactful.
• 2 to 4 years of experience in product analytics.
• Exposure to supply chain-related work is considered a major plus.
• Good grounding in statistics, analytics, and machine learning.
• Hands-on proficiency with SQL, BigQuery, and Python.
• Experience in product analytics, data science, or another quantitative function is preferred.

Who is likely to succeed here

• Candidates with high standards who recognize the importance of sustained effort.
• People who are highly resourceful and strongly action-oriented.
• Individuals who are willing to think independently and bring original ideas.
• Professionals who are adaptable and comfortable learning, adjusting, and changing direction when needed.