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Manager - Data & Analytics

Rapyuta Robotics Open · verified Oct 24, 2026
On-site Chennai Full-time Manager Data Analysis & BI

At a glance

Manager-level Data Analysis & BI role at Rapyuta Robotics. Chennai · full-time.

Pay not stated Data Analysis & BI salary

RoleData Analysis & BI
SeniorityManager
LocationChennai
WorkplaceOn-site
EmploymentFull-time
PostedJul 14, 2026 · 3mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build an internal analytics platform with reusable models, tools and automated workflows for operational decisions and solution design
  • Turn recurring work such as throughput models and layout reviews into repeatable services that need less manual effort
  • Guide analytics architecture and automation, stepping in directly when critical work or delivery quality is at risk
  • Track platform quality, uptake and delivery speed, and help internal teams use it in their daily work

What you bring

  • You have built and led small teams while staying involved in important technical work
  • You have delivered analytics and automation using Python, SQL or comparable tools, from initial design through adoption
  • You can make unclear problems tractable and turn recurring business needs into scalable analytics capabilities

Who this fits

This role suits a hands-on manager who can build a team and contribute technically when needed. The position is based on-site in Chennai.

From the employer

Rapyuta Robotics, an ETH Zurich spin-off, operates with the goal of making robots more accessible to anyone in the logistics industry. Rapyuta Robotics seeks individuals who believe that collaborative work leads to more effective and sustainable outcomes and are fearless in challenging limits—whether within themselves or in their surroundings—to make a dent in the universe.

In this role, you will build and lead a small, hands-on team responsible for creating an internal Data & Analytics Platform that powers how the company designs and operates solutions for warehousing and supply chain. The team operates with a product mindset, developing reusable analytics models, automated workflows, internal tools, and standardized playbooks that are consumed by Sales, Solutioning, Deployment, and Operations squads. You will own the outcomes of this platform end-to-end—quality, adoption, delivery speed, and continuous improvement—and will be expected to personally contribute when the team is blocked, quality is at risk, or critical analytics and automation capabilities need to be built.

Requirements

Responsibilities

  • Build & Own the Data & Analytics Platform: Build and operate an internal Data & Analytics Platform that delivers reusable models, tools, and automated workflows to support solution design and operational decision-making across Sales, Solutioning, Deployment, and Operations squads.
  • Standardize & Scale Solutioning Workflows: Turn recurring analyses (e.g., sizing, throughput modeling, layout evaluation, performance reporting) into standardized, scalable capabilities, progressively reducing manual effort through automation and self-service.
  • Hands-on Technical Leadership: Provide hands-on technical leadership on analytics architecture, modeling, and automation; personally contribute when critical capabilities need to be built or when delivery quality and timelines are at risk.
  • Own Platform Outcomes & Adoption: Own platform outcomes end-to-end (quality, adoption, delivery speed), working closely with internal squads to embed the platform into daily workflows and continuously improve its impact on solutioning quality and operational decisions.

Requirements

  • Proven experience building and leading small teams while remaining hands-on in critical technical work.
  • Demonstrated experience delivering analytics and automation solutions (e.g., using Python, SQL, or similar), with ownership of end-to-end outcomes (from design to deployment and adoption).
  • Strong ability to structure ambiguous problem spaces and translate recurring business needs into standardized, scalable analytics capabilities.
  • Comfortable operating in a fast-paced, evolving environment and building new capabilities from the ground up.
  • Familiarity with the supply chain domain is a plus

Benefits

Why us?

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

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

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Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.