Manager, Market Research- Meghna Re-Rolling Steel Mills Limited

• At least 10 years
• The applicants should have experience in the following business area(s): Steel

• Master of Business Administration (MBA)

• At least 10 years
• The applicants should have experience in the following business area(s): Steel

• Strong analytical, research, problem-solving and critical-thinking skills with a sound understanding of steel industry trends, pricing and competitor analysis.

• Proficiency in MS Excel, PowerPoint, Power BI and other data analysis and visualisation tools.

• Strong knowledge of market research, demand forecasting, statistical analysis and business intelligence techniques.

• Practical knowledge of AI-powered tools such as ChatGPT and Microsoft Copilot for market research, data analysis, reporting and business insights.

• Excellent reporting, presentation, communication and coordination skills, with the ability to translate research findings into actionable business recommendations.

Job Context:

Meghna Re-Rolling and Steel Mills Limited (MRSML), a concern of Meghna Group of Industries is established a top-notch steel factory in Bangladesh with the latest European technologies and machinery having a production capacity of 1.5 million MT per annum. The vision of this concern is to produce world-class re-rolling products and billets, which will meet the uprising demand in the local market and will also bring significant economic growth by exporting around the globe. We are looking for a Manager, Market Research. The incumbent will be responsible for market research and intelligence activities by analysing the steel industry, market dynamics, customer behaviour, competitor strategies, pricing trends and demand forecasts to support strategic business decisions, strengthen market positioning and identify new business opportunities for Meghna Re-Rolling Steel Mills Limited.

Job Responsibilities:

• Conduct market research by collecting and analysing steel industry data, market trends, customer preferences and consumption patterns to identify business opportunities and support strategic decision-making.

• Analyse competitor strategies by monitoring competitors' product portfolios, pricing policies, production capacities and market positioning to strengthen the company's competitive advantage.

• Monitor market prices by tracking raw material costs, billet prices and finished steel prices to recommend competitive pricing strategies and ensure profitability.

• Forecast market demand by evaluating historical sales data, infrastructure projects, construction activities and economic indicators to support production and sales planning.

• Identify business opportunities by assessing emerging markets, potential customer segments, geographical expansion and industry developments to increase market share and business growth.

• Evaluate customer behaviour by conducting market surveys, analysing customer feedback and assessing purchasing patterns to understand market requirements and improve product offerings.

• Prepare market intelligence reports by consolidating industry trends, competitor analysis, pricing movements and demand forecasts to facilitate informed management decisions.

• Coordinate with internal departments by sharing market insights and collaborating with Sales, Marketing, Production and Procurement teams to align business operations with market demand.

• Monitor industry developments by reviewing government policies, import-export regulations, economic conditions and infrastructure investments to identify potential business risks and growth opportunities.

• Recommend strategic business initiatives by interpreting market research findings, identifying competitive challenges and evaluating growth prospects to support long-term business expansion and profitability.

• Utilise AI-driven tools and technologies by applying AI-powered research platforms, data analytics tools and automated reporting solutions to analyse market trends, generate business insights, improve research accuracy and support faster, data-driven management decisions.