Commercial Analyst at Dubizzle MENA

Cairo, Cairo, Egypt -

Full Time

Start Date

Immediate

Expiry Date

16 May, 26

Salary

0.0

Posted On

15 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Performance Tracking, Pricing Analysis, Scenario Modelling, Excel, Google Sheets, Reporting, Data Extraction, Data Scraping, Project Management, Stakeholder Management, Communication, Business Partnering, Data-Informed Strategy, SQL, Python

Industry

Software Development

Description

Dubizzle Egypt is the leading marketplace for selling and buying online in the region. Our aim is to upgrade people’s lives by facilitating deals and identifying attractive opportunities for both individuals and businesses. Our goal is to strengthen local economies, empower small businesses, and help everyone in making smarter choices for themselves, the market, and the planet. As part of Dubizzle Group, we are alongside some of the strongest classifieds brands in the market. With a collective strength of 8 brands, we have more than 160 million monthly users that trust in our dedication to providing them with the best platform for their needs. As a Commercial Analyst, you will support decision-making through structured analysis, and actionable insights. This role is about using data intelligently to ask the right questions, flag risks and opportunities. The role will work closely with senior stakeholders, support performance tracking, contribute to pricing and commercial analysis, and lead analytical workstreams within special projects. Responsibilities: Analyse business and performance data to support commercial and strategic decisions Translate data into clear insights, flags, and recommendations, not just numbers Support product pricing decisions through structured analysis, scenario modelling, and performance evaluation. Build and maintain advanced Excel / Google Sheets models, reports, and trackers Support management reporting by ensuring accuracy, consistency, and logical assumptions Conduct ad-hoc analysis and data gathering, including light data extraction or scraping when needed Support special projects by structuring problems, analysing scenarios, and tracking impact Act as a business partner to stakeholders by challenging assumptions and highlighting trends early Collaborate with cross-functional partners in product, engineering, operations, finance, and marketing to help develop data-informed business strategies and roadmaps. Track- in-month performance for online and offline channels Qualifications: Bachelor’s degree in computer science, Statistics, Business or any similar field. Experience: 2 - 3 years of work experience in a strategy/business analytics/sales enabler role, having closely worked in an e-commerce company. Knowledge: Proficient in Sheets/ Microsoft Excel. Knowledge of Python/ SQL is a plus. Skills: Ability to crunch heavy data, build insights and drive operational decision making. Excellent analytical skills with a demonstrated ability to translate data and information into actionable insights and business recommendations. Exceptional project management skills and attention to detail. Excellent stakeholder management and communication skills. Traits: Proactive and passionate. You are independently capable of seeking information, solving conceptual problems and delivering high-quality results in challenging situations. Passion for data and metrics. Outstanding analytical capacity paired with a profound business sense. Hands-on attitude and the ability to thrive in a fast-paced environment. Highly motivated, professional, creative, proactive and able to work independently and cooperatively in a diverse group. A fast paced, high performing team. Comprehensive Health Insurance Life Insurance Rewards & Recognitions Learning & Development opportunities #Egyptdubizzle

Responsibilities

The Commercial Analyst will support decision-making through structured analysis and actionable insights, focusing on tracking performance, contributing to pricing analysis, and leading analytical workstreams for special projects. Key duties include analyzing business data, translating findings into clear recommendations, and building advanced data models.