Business Development Assistant

About the Company

Glasstech Refractory is one of the leading contractors in the glass furnace industry, with over 24 years of experience and operations in 11 countries. The company has extensive expertise in various types of glass furnaces, including float, container, fiber, soda, and tableware, with capacities ranging from 50 to 1200 tons.

It provides end-to-end solutions such as cold repair, hot repair, glass-to-glass conversions, turnkey furnace installations, and furnace steel procurement. By prioritizing occupational safety and quality in all its projects, Glasstech Refractory delivers timely and efficient results in compliance with European Union standards.

Position Purpose

The primary objective of the Business Development Assistant role is to actively contribute to the company’s global business development activities by collecting, analyzing, and processing data related to companies, facilities, and equipment operating in high-temperature industries (primarily the glass industry, as well as petrochemical, iron & steel, waste-to-energy, and energy sectors).

This role will play a critical part in developing the company’s newly established global data infrastructure and integrating it into business development processes.

Key Responsibilities

• Create sector-based global company lists and consolidate existing data
• Clean data sets, eliminate duplicates, and build master data tables
• Develop the facility database through country–plant mapping
• Collect technical data related to furnaces and equipment (e.g., repair dates, campaign durations, EPC and design information, etc.)
• Conduct research via supplier portals (vendor registration processes and requirements)
• Identify the right contacts at technical, procurement, and senior management levels
• Provide data and analytical support to business development processes
• Prepare weekly and monthly performance reports
• Contribute to CRM and data management processes

Qualifications

• Strong interest in research, data collection, and analysis
• Proficiency in data management, especially Excel (advanced level is a plus)
• Detail-oriented with a systematic working approach
• At least B1 level of English (B2 and above is preferred)
• Ability to conduct research using international sources
• Strong analytical thinking and classification skills
• Ability to adapt to a KPI- and performance-driven work environment
• Strong organizational and follow-up skills
• Interest in business development and commercial processes
• Willingness to use AI tools in research processes