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Senior Manager Data Analytics Job Opening In Not Specified – Now Hiring noon


Job description

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.


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.At noon, we're building one of the most data-driven organizations in the region.

As the Senior Manager, Data Analytics, you will play a critical leadership role in shaping how data informs decisions across Fulfillment & Logistics (Fugistics).

You'll lead a team of analytics professionals and partner closely with business leaders to drive operational excellence, efficiency, and innovation at scale.

You'll be responsible not only for building advanced analytical models and insights but also for setting the vision and roadmap for data analytics in Fugistics.

This role requires a unique blend of technical expertise, business acumen, and leadership skills.


Key Responsibilities:

  • Own the end to end supply planning cycle, translating demand forecasts into supply plans for inbound/outbound/returns for fulfilment and logistics teams.

  • Collaborate with demand planning, warehouse and logistics teams to ensure adequate capacity is there to fulfill the monthly plan and ensure timely shipping and on-time deliveries.

  • Lead seasonal and promotional event planning including inventory build-up strategies, temporary storage solutions, manpower planning by partnering with cross functional teams to ensure seamless execution.

  • Monitor Key performance indicators including daily attainment, capacity utilization, promise quality etc.

  • Lead, mentor, and grow a high-performing team of Planners and Analysts and drive continuous process improvements across planning processes.

  • Partner with senior stakeholders across Operations, Finance, Product, and Technology to translate business problems into structured analytical projects.

  • Build and maintain scalable data frameworks, planning models, and dashboards that provide actionable insights for decision-making at all levels.

  • Drive forecasting, budgeting, and KPI tracking for key operational metrics across fulfillment centers, last-mile logistics, and supply chain.

  • Develop and implement advanced analytical techniques (forecasting, clustering, regression, predictive modeling) to anticipate trends and identify opportunities for efficiency improvements.

  • Champion automation and self-service tools to empower teams and reduce manual reporting.

  • Act as a thought partner to leadership, proactively identifying risks, opportunities, and areas for strategic investment.


What you'll need:

  • 8+ years of experience in Data Analytics, Business Intelligence, or Strategic Analytics, with at least 3 years in a leadership role.

  • Strong background in e-commerce, supply chain, fulfillment, or logistics.

  • Proven track record of leading cross-functional analytics projects that drive measurable business impact.

  • Deep expertise in SQL, BigQuery, and modern data analytics tools.

  • Proficiency in data visualization platforms (Google Data Studio, Power BI, Tableau).

  • Strong statistical foundation and experience with forecasting, predictive modeling, regression, clustering, classification techniques.

  • Knowledge of programming languages such as Python or R (preferred).

  • Bachelor's or Master's degree in Engineering, Data Science, Business Analytics, Statistics, or related field.

  • Strong leadership qualities: ability to inspire, coach, and build high-performing teams.



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.

Required Skill Profession

Transport & Logistics


  • Job Details

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Are You Looking for Senior Manager Data Analytics Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at noon adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Senior Manager Data Analytics Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Not Specified. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Senior Manager Data Analytics?

Key qualifications for Senior Manager Data Analytics typically include Transport & Logistics and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Senior Manager Data Analytics Job Success

noon interview tips for Senior Manager Data Analytics

Here are some tips to help you prepare for and ace your Senior Manager Data Analytics job interview:

Before the Interview:

Research: Learn about the noon's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Final Thought:

To prepare for your Senior Manager Data Analytics interview at noon, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the noon's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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