Company Description Digital Analogues and Data Analytics (DADA) develops creative software solutions for centralized kitchens, food industries, and logistics operations. The company focuses on addressing the challenges of large-scale food businesses, including efficiency, consistency, traceability, and seamless distribution. DADA’s technology helps organizations streamline processes, optimize supply chains, reduce waste, and improve productivity. The team delivers centralized kitchen management systems, food industry process automation, and smart logistics solutions to food manufacturers, distributors, cloud kitchens, restaurants, and logistics companies. DADA is committed to shaping the future of FoodTech and LogiTech by providing intelligent, scalable, and reliable software that supports sustainable growth.
Role Description As a Member at Digital Analogues and Data Analytics, you will contribute to the design, development, and improvement of software solutions for food and logistics operations. You will collaborate with cross-functional team members to understand client requirements,



support implementation activities, and assist in monitoring system performance for ongoing enhancements. Daily responsibilities may include data collection, documentation, basic analysis, testing features, and supporting internal and client-facing communications related to product usage and updates. This is a full time, in office role based in Coimbatore, where you will work closely with the team to ensure solutions align with business goals and industry best practices.
Qualifications
• Strong interest in software, FoodTech, and logistics technology, with the ability to learn domain concepts quickly.
• Basic understanding of software development, data analysis, or process optimization (coursework or project experience is beneficial).
• Ability to collect, organize, and document operational or technical information clearly and accurately.
• Effective communication and collaboration ski

📌 Member Coimbatore (India)
🏢 Digital Analogues and Data Analytics
📍 India