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Location
In office (Chennai)
Employment
Full-Time
Overview
Company
Impact
Profile match
We’re the fastest way to go from idea to solution. Build on top of a state-of-the-art field tested platform that allows you to build, deliver, monitor, and scale your robotics application. Take a holistic approach including people, processes, and technology.

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.

Requirements

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

Benefits

  • Exciting and challenging problems are addressed using wide-ranging technologies and tools.
  • Competitive salary
  • Great team culture, peers and workplace
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