On-Site Data Analyst: E-Commerce & BI for Growth & AI

Prelogex Pvt. Ltd.; Multan; On-site; PKR 1,200,000 - 2,400,000; Full time

Job summary

Prelogex Pvt. Ltd. is seeking an on-site Data Analyst to manage and analyse sales, advertising, team performance and internal operations data, enabling leadership to make data-driven decisions.

You will build dashboards, track campaigns, monitor inventory, and collaborate with ecommerce, warehouse and support teams to deliver actionable insights that drive efficiency and growth. This role partners with multiple departments to optimize processes and improve decision-making through clear data

Qualifications

• 2+ years of experience as a Data Analyst or similar
• Proficient with Excel and dashboards (Power BI or Google Data Studio)
• Experience with SQL and Python is a plus

Responsibilities

• Build and manage dashboards for online sales across marketplaces and eCommerce platforms
• Track ad spend and campaign results across social ads and Google
• Analyse product returns, SKU performance and profitability signals
• Monitor inventory levels and support reorder alert reporting
• Analyse staff timesheets, ClickUp task data and department productivity trends
• Collect, clean and align data from Excel, ClickUp, marketplaces and ad platforms
• Share weekly reports and summaries with management
• Identify trends, gaps and opportunities to improve business decisions
• Support eCommerce, warehouse, customer service and software teams with actionable insights

Skills

Data storytelling

Analytical thinking

Communication

Tools

Excel

Power BI

Google Data Studio

SQL

Python

ClickUp

Job description

Prelogex Pvt. Ltd. is seeking an on-site Data Analyst to manage and analyse sales, advertising, team performance and internal operations data, enabling leadership to make data-driven decisions.

You will build dashboards, track campaigns, monitor inventory, and collaborate with ecommerce, warehouse and support teams to deliver actionable insights that drive efficiency and growth. This role partners with multiple departments to optimize processes and improve decision-making through clear data