Data Analyst, Customer Support

Job title: Data Analyst, Customer Support

Location: Sheikh Zayed, Giza (On Site)

Reporting to: Business Intelligence Assistant Manager, Customer Support

About noon

We’re building an ecosystem of digital products and services that power everyday life across the Middle East—fast, scalable, and deeply customer-centric. Our mission is to deliver to every door every day. We want to redefine what technology can do in this region, and we’re looking for an Integration & Support Manager who can help us move even faster.

noon’s mission: Every door, every day.

What you'll do:

Team noon has some of the fastest, smartest, and hardest-working people we've encountered. With a young, aggressive, and talented team, we're driving major missions forward.

Responsibilities:

• Solve complex business problems with data; using data scientific tools to find solutions for challenges in the realm of both big and small data: developing custom data models and algorithms to apply to data sets.
• Analyze recurring complaint patterns, identify key attributes, and collaborate with ground operations and tech teams to implement root-level solutions.
• Actively participate in cross-functional project teams in the execution of our analytics strategy, exploring emerging technologies and leveraging their full potential
• Prepare detailed Root Cause Analyses (RCA) for unique or complex cases, driving necessary changes across the value chain to prevent recurrence.
• Compile and share daily, weekly, and monthly insights with senior management, highlighting trends, challenges, and improvements.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

What you'll need:

We are seeking an outstanding early-career professional with a proven knack for problem-solving, demonstrated both in their personal and professional journey. The ideal candidate should exhibit structured thinking, the ability to synthesize information from diverse sources to achieve optimal outcomes, and a willingness to make decisions—whether grounded in logic or guided by intuition or combination of both when necessary. Below are the key skills and qualities we value in the candidate:

- Excellent knowledge with Google BigQuery.

- Basic understanding of machine learning concepts and hands-on experience with scikit-learn (e.g., regression, classification, clustering).

- Familiarity with (HTML, JavaScript, CSS).

- Exposure to data visualization tools or libraries (e.g. Power BI, Looker Studio, etc. ).

- Strong analytical thinking, attention to detail, and eagerness to learn.

- Good communication skills and ability to work in a team-oriented environment.

- Strong command of English spoken and written.

Nice to Have:

- Personal projects, internships, or coursework involving real-world data analysis or ML modeling.

- Familiarity with Git, or cloud platforms (especially Google Cloud Platform).

- Interest in e-commerce, retail analytics, or consumer behavior.

- 1 to 2 years of experience as a Data Analyst.

Who will excel?

• We’re looking for people with high standards, who understand that hard work matters.
• You need to be relentlessly resourceful and operate with a deep bias for action.
• We need people with the courage to be fiercely original.
• noon is not for everyone; readiness to adapt, pivot, and learn is essential.