Data Analyst

Job title: Data Analyst

Location: India

About noon

Were building an ecosystem of digital products and services that power everyday life across the Middle Eastfast, 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 were looking for a Data Analyst who can help us move even faster.

noons 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.

The Data Analyst will analyze support data to identify trends, root causes, and performance gaps across channels. The role focuses on building dashboards, tracking KPIs like CSAT, AHT, and resolution time, and translating insights into actionable recommendations to improve customer experience and operational efficiency.

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?

• Were 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.