Commercial Business-Analyst

Daraz; Karachi Division; On-site; PKR 1,200,000 - 2,400,000; Full time

Job summary

Daraz seeks a Commercial Analytics professional to analyze performance data and uncover growth opportunities in assortment, pricing, and promotions. You will develop data-backed insights and regular trend reports, while improving reporting structures with a consultant-like mindset.

You will own end-to-end commercial projects, coordinate cross-functional teams, manage risks, and drive on-time delivery. AI tools will accelerate analysis and automation.

Qualifications

• Bachelor's degree in Business, Economics, Data Science, Engineering, or related field.
• 2–3 years of experience in commercial analytics, business analytics, data analysis, or project management.
• Strong SQL proficiency and data visualization/reporting tool experience.
• Solid Excel skills and familiarity with statistical techniques and AI-powered tools.

Responsibilities

• Analyze performance data to identify growth opportunities for assortment, pricing, and promotions.
• Develop data-backed insights and regular reports highlighting trends and opportunities.
• Improve reporting structures with a consultant-like perspective to drive growth.
• Own end-to-end delivery of commercial projects from scoping to closure.
• Develop project plans, timelines, milestones, and success metrics with cross-functional teams.
• Coordinate stakeholders to ensure alignment, accountability and on-time delivery.
• Identify risks and dependencies; develop mitigation plans to stay on track.
• Lead post-mortems and capture learnings for continuous improvement.
• Use AI-powered tools to accelerate analysis, reporting, and documentation.
• Identify repetitive workflows and configure AI agents to reduce errors and boost productivity.
• Stay current with AI capabilities and advise on new applications for commercial processes.

Skills

Problem-solving

Stakeholder management

Cross-functional collaboration

Time management

Project management basics

Education

Bachelor's degree

Tools

SQL

Data visualization tools

Excel

AI-powered tools

Job description

Commercial Analysis

• Analyze performance data to identify growth opportunities and inform decisions on assortment, pricing, and promotions.
• Develop data-backed insights and regular reports that highlight trends, successes, challenges, and opportunities.
• Improve reporting structures and bring a consultant-like perspective to identify and act on growth opportunities.

Project Management & Execution

• Own end-to-end delivery of commercial projects from scoping and planning through execution, tracking, and closure.
• Develop project plans, timelines, milestones, and success metrics with cross-functional teams.
• Coordinate stakeholders to ensure alignment, accountability, and on-time, in-scope delivery.
• Identify risks, blockers, and dependencies, and develop mitigation plans to keep initiatives on track.
• Lead post-mortems and maintain project documentation to capture learnings and support continuous improvement.

AI-Enabled Efficiency

• Use large language models and AI-powered tools to accelerate analysis, reporting, and documentation.
• Identify repetitive workflows and build or configure AI agents and automations to reduce errors and improve productivity.
• Stay current with emerging AI capabilities and recommend new applications to optimize commercial processes.

Job Requirements

• Education: Bachelor's degree in Business, Economics, Data Science, Engineering, or a related field.
• Hard skills: Strong SQL proficiency; experience with data visualization and reporting tools; solid Excel skills; familiarity with statistical techniques, commercial metrics, project management basics, and AI-powered tools including large language models and workflow automation.
• Experience: 2–3 years in commercial analytics, business analytics, data analysis, or project management
• Soft skills: Strong problem-solving, stakeholder management, and cross-functional collaboration; disciplined execution; ability to manage multiple priorities in a fast-paced environment