In this role, you will build and run the analytical engine powering sustainability for the global robotics division. You will develop end-to-end data models, automated collection templates, and interactive dashboards to track greenhouse gas emissions, energy, water, circularity, and materials performance across business units.
As the robotics division transitions into a standalone entity backed by SoftBank, having audit-grade sustainability data is vital. Your work turns raw operational figures into transparent, verifiable insights that guide real decarbonization pathways and ensure compliance with emerging global disclosure standards.
This suits someone who blends data engineering skills with a strong grasp of ESG frameworks and thrives on building strong reporting architectures from scratch.
Job FAQs
What are the main missions and responsibilities of this role?
The core mission is to serve as the analytical and technical architect for corporate sustainability performance. You will design, build, and optimize scalable enterprise analytics solutions using tools such as Power BI, SQL, Snowflake, and Streamlit. This encompasses modeling complex datasets across Scope 1, 2, and 3 emissions, resource efficiency, waste, and circular economy indicators.
Beyond technical dashboards, you will create standardized data collection frameworks and automated validation rules across diverse internal departments, including supply chain, R&D, finance, and manufacturing. Maintaining audit-ready records and clear documentation of calculations will be a primary long-term operational objective.
Key learning opportunities for this job
This role offers unique exposure to standing up an entire ESG data infrastructure during a corporate carve-out and acquisition. You will gain deep technical expertise in deploying modern analytics stacks (Snowflake, Streamlit, Power BI) specifically tailored to environmental reporting standards.
Additionally, you can expect to develop advanced knowledge of complex Scope 3 carbon accounting, circularity quantification, and enterprise-grade data governance within a global high-tech manufacturing context.
How does the ideal candidate look like (experience, skills)?
The ideal candidate combines strong technical data capabilities with a practical understanding of ESG accounting. A degree in Data Analytics, Computer Science, Engineering, or Sustainability, complemented by roughly 3 to 5 years of experience in business intelligence or analytics consulting, is essential.
On the technical side, proficiency in SQL, Power BI, Python or R, and dimensional data modeling is essential. Soft skills are equally vital: you must be able to translate complex data engineering concepts into actionable insights for operational managers and non-technical executives.
Advice to stand out and make a successful application
Highlight your hybrid skill set in both data development and sustainability accounting. Detail specific instances where you built data pipelines, automated reporting workflows, or created dashboards from disparate data sources in a multi-stakeholder setting.
Demonstrate how your work has directly supported audit readiness or GHG protocol alignment. Emphasize your adaptability, as the transition into an independent entity requires autonomy, proactive problem-solving, and a builder mindset.
What aspects of the company's sustainability is this role likely to focus on?
The position concentrates primarily on the quantitative measurement of environmental impacts across the robotics value chain. Key areas include tracking Scope 1, 2, and 3 greenhouse gas emissions, operational energy consumption, material usage, and circular economy metrics.
You will also enable scenario modeling for decarbonization pathways, helping leadership evaluate the emissions and financial trade-offs of operational choices.
What are the main challenges someone in this role might face?
The foremost challenge lies in harmonizing fragmented data across global production sites, legacy enterprise systems, and varied functional teams. Ensuring consistent data quality and audit compliance across multiple countries requires resilience and rigorous validation routines.
Another significant challenge involves navigating the operational ambiguity associated with the company carve-out and transition to SoftBank ownership, requiring you to establish processes where standard operating procedures may still be evolving.
How could a typical day look like for someone in this position?
A typical day might start by checking automated ETL workflows and reviewing data validation flags for monthly reporting. Mid-morning could involve collaborating with central IT and IS teams to align on Snowflake connectors and data warehouse integration.
In the afternoon, you might build and test new visualization modules in Power BI, followed by a consultation with procurement or operations leads to refine carbon data collection templates.
What are the opportunities for professional growth and development in this role?
Given the high visibility of this role reporting to the Global Head of Sustainability, successful execution positions you as a critical subject-matter expert at the intersection of ESG and business intelligence.
Career progression could lead to senior roles in sustainability data architecture, enterprise ESG strategy leadership, or broader digital transformation management within the evolving global robotics organization.
The main stakeholders you might be interacting with
You will collaborate closely with the Global Head of Sustainability, operational sustainability managers, and topic leads across environmental domains.
Externally to the sustainability team, you will interact frequently with enterprise IS/IT architects, data engineers, operations and plant managers, supply chain leads, finance controllers, and internal or external ESG auditors.
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