As the analytical engine of a newly independent robotics powerhouse, you will build the entire data architecture required to track and improve environmental performance. You will own the creation of interactive dashboards, data models, and automated reporting templates that translate complex industrial activities into clear, actionable insights. This is a technical role that bridges the gap between raw data engineering and high-level sustainability strategy.
This position matters because you are joining a leader in automation during a major transition, providing the transparency needed to decarbonize global supply chains and improve circularity. By digitizing sustainability KPIs, you empower engineers and leaders to make data-driven decisions that reduce the planetary footprint of industrial robotics. Your work directly ensures that innovation in AI and robotics remains grounded in measurable environmental accountability.
This suits someone who possesses advanced technical proficiency in Power BI and Python and thrives in agile, entrepreneurial environments where they can build systems from scratch. You should be a systems thinker who enjoys translating complex ESG metrics into elegant digital solutions.
Preguntas frecuentes
What are the main missions and responsibilities of this role?
The primary mission is to serve as the analytical backbone for the sustainability team by designing and maintaining enterprise-scale data solutions. You will be responsible for building scalable dashboards in Power BI and Snowflake that monitor energy, water, waste, and Scope 1-3 emissions.
Beyond technical builds, you will standardize data frameworks across diverse departments like Supply Chain, HR, and R&D. Your goal is to ensure all sustainability-related data is consistent, high-quality, and ready for rigorous third-party audits.
Additionally, you will support strategic decision-making by performing scenario modeling for decarbonization pathways. This involves translating complex business needs into technical requirements and ensuring that data flows seamlessly from production lines to the executive boardroom.
Key learning opportunities for this job
You will gain deep expertise in ESG accounting methodologies, particularly in the complex landscape of Scope 3 emissions for global manufacturing. Navigating the data requirements of the robotics industry offers a unique perspective on industrial sustainability.
From a technical standpoint, you will have the chance to refine your skills in advanced BI toolchains, including Streamlit and Snowflake. Working at the intersection of IT and sustainability will sharpen your ability to govern data in a highly digitalized corporate environment.
Furthermore, you will learn the intricacies of corporate restructuring. As this business unit transitions following the SoftBank acquisition, you will observe firsthand how sustainability functions are built and scaled within a newly independent, agile entity.
How does the ideal candidate look like (experience, skills)?
The ideal candidate is a technical specialist with 3 to 5 years of experience in business intelligence or data engineering. You must be comfortable with SQL for querying, Python for automation, and Power BI for visualization.
An educational background in engineering, data science, or sustainability is expected, but the differentiator is a systems-thinking mindset. You need to understand how data flows through a global organization and anticipate how a change in one variable impacts downstream reporting.
Finally, you should be a self-sufficient builder who doesn't just wait for instructions. You take ownership of prototyping solutions and have the communication skills to explain your logic to stakeholders who may not have a technical background.
Advice to stand out and make a successful application
To stand out, emphasize your experience with large-scale industrial datasets. If you have previously built carbon footprint models or circularity trackers in a manufacturing context, make sure to detail the specific tools and methodologies you used.
Since this role supports a business transitioning into a new entity under SoftBank, demonstrate your adaptability and entrepreneurial spirit. Highlight instances where you built data processes from scratch or successfully managed data quality during periods of organizational change.
Prepare to discuss your communication style. The hiring team is looking for someone who can bridge the gap between IT and business users, so showcasing your ability to translate technical KPIs into strategic insights will be vital.
What aspects of the company's sustainability is this role likely to focus on?
The role focuses heavily on carbon transparency and climate action. You will be tasked with measuring and visualizing progress across Scope 1, 2, and 3 emissions, which is critical for the company’s net-zero ambitions.
Another significant focus area is resource efficiency and circularity. You will build the models that track waste reduction, water usage, and the lifecycle of materials used in robotics manufacturing, enabling a shift toward more circular business models.
Lastly, there is a strong emphasis on data governance and auditability. As global ESG regulations tighten, your work ensures that the company’s sustainability claims are backed by robust, verified, and high-quality data.
What are the main challenges someone in this role might face?
One of the primary challenges will be data fragmentation. Collecting consistent metrics across global operations in Supply Chain, R&D, and Finance requires navigating different systems and legacy processes.
The fast-paced transition environment following the acquisition plan by SoftBank adds a layer of complexity. You will need to be comfortable working with evolving priorities and potentially shifting toolchains while maintaining data integrity.
Additionally, ensuring high data quality from diverse stakeholders who may not prioritize ESG reporting can be difficult. You will need to build highly user-friendly templates and validation checks to mitigate human error in data entry.
How could a typical day look like for someone in this position?
A typical day might begin with a sprint review or a meeting with the Global Head of Sustainability to align on upcoming reporting requirements. You might then spend several hours writing SQL queries or refining a Power BI dashboard to improve visualization of energy consumption.
In the afternoon, you could be collaborating with the IT department to discuss the integration of new data connectors or documenting the calculation logic for a specific circularity KPI. This ensures that the "black box" of data is transparent for auditors.
You might end the day by mentoring a topic lead on how to use a new self-service reporting tool or performing an ad-hoc analysis on decarbonization scenarios to support a strategic presentation.
What are the opportunities for professional growth and development in this role?
This role is a gateway to leadership in ESG Digitalization. As companies increasingly rely on technology to meet sustainability targets, professionals who can bridge these two fields are in extremely high demand.
You will have the opportunity to take on high-visibility projects that report directly to senior leadership, providing a platform to influence global strategy. Success in this role could lead to a position as a Lead Sustainability Architect or a Global Sustainability Director.
Given the backing of SoftBank, there may also be opportunities to interact with cutting-edge AI and robotics initiatives, potentially evolving your role into more advanced predictive analytics or AI-driven sustainability solutions.
The main stakeholders you might be interacting with
Your primary internal partner will be the Global Head of Sustainability, to whom you directly report. You will act as their technical right hand for all performance tracking and reporting matters.
You will interact frequently with IT and IS teams to ensure that the sustainability toolchain is secure, integrated, and scalable. These interactions are critical for maintaining the infrastructure you build.
Additionally, you will engage with cross-functional leads in Operations, Supply Chain, and Finance. You will provide them with the dashboards they need to track their own targets and work with them to ensure the data they provide is accurate and timely.
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