Business Analyst

Rapyuta Robotics — Chennai, IN — inconnu

What our tracking knows about this posting

Published on 2 September 2026 · first appeared in our records on 2 September 2026.

Stable posting: first seen on 2 September 2026, with no abnormal reposting.

This posting shows no salary — 2% of open tech postings in IN do.

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Rapyuta Robotics is a ETH Zurich spin-off headquartered in Tokyo operates with a vision to become the global leader in making robots more accessible for anyone in the logistics market. We lead the pick-assist AMR market in Japan and are backed by Goldman Sachs, Sony and Yaskawa as investors. We are opening a global hub in Chennai, an independent center to enable our global expansion. You will be part of our global business analytics team, with an initial focus on the Rapyuta AMR & ASRS product. You will closely work with the sales, solutions, engineering, and operation squads to ensure our products are more accessible and useful for our customers. Mindset • Being proactive and taking initiative in uncertain situations. • Providing logical estimation and explanation. • Correctly understanding requirements and delivering appropriate output. • Handling data carefully and accurately. • Being open and cooperative with other team members for better output. Roles and Responsibilities: • Work closely with pre-sales engineering to capture the current warehousing volume to propose an optimal ASRS plan in the sales phase. • Run simulations and report the findings to team members, customers, etc. • Conduct bottleneck analysis for each customer using operational logs. • Develop & modify operational reports for the customers • Construct and improve processes, environments, and tools for the above activities. • Provide the findings and ideas gained from these activities to Rapuyta members for better product development, customer negotiation, etc. Requirements: • Proficiency in Python, Excel (including functions, aggregations, and charts) and some BI tools. • Around 1 year of professional experience in the analytics field, including analyzing, reporting, and presentation. • Around 1 year of work experience or equivalent skills in data handling with Python, especially Pandas and Matplotlib. • Excellent verbal and written communication skills in English. • Experience in hypothesis-driven analysis and proposing improvements