Data Scraper

About Bridgeway Logistics LLC

Bridgeway Logistics LLC operates nationwide, providing fast and dependable vehicle transport solutions for cars, heavy machinery, ATVs, construction vehicles, trucks, and boats. The company emphasizes secure, hassle-free shipping performed punctually and with great care. Core values include exceptional customer service, transparency, and innovation. Bridgeway strives to become the nation's most trusted transport provider by upholding high standards for nationwide shipping. Team members work in a customer-centric environment that prioritizes reliability and care.

Role Overview

This full-time, on-site position based in Rawalpindi involves developing and executing data scraping processes to gather transport, pricing, and market data from diverse online platforms. Key tasks include cleansing and organizing scraped data, managing data repositories, and preparing datasets for analysis and reporting purposes. The Data Scraper will work closely with operations, logistics, and management teams to facilitate decision-making, monitor performance, and enhance processes. Responsibilities also involve ensuring data quality, troubleshooting scraping challenges, and adhering to data privacy and usage regulations.

Qualifications and Skills

• Proficient in data analysis and analytics to convert scraped information into actionable insights.
• Experienced in data management to efficiently organize and maintain extensive datasets.
• Strong analytical skills for detecting trends and anomalies to support informed decisions.
• Knowledge of data modeling techniques to prepare data for reporting, visualization, and forecasting.
• Familiarity with web scraping tools, scripting languages such as Python and SQL, and API usage is highly advantageous.
• Experience with spreadsheet applications, business intelligence tools, or data visualization software is a plus.
• Detail-oriented with excellent problem-solving skills and the ability to maintain thorough documentation.
• Having a diploma or degree in Computer Science, Data Science, Information Technology, or related fields is preferred.
• Ability to collaborate effectively with cross-functional teams and communicate technical matters clearly to non-technical stakeholders.