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Terrascope
Carbon Data Analyst (Japanese speaking)
9 months ago
About the Job
In this role you will:
- Collaborate with our Customer Success Managers and interface with the client to define the data required to complete a customer’s organisational carbon measurement
- Work with customers to help them provide the correct data required for calculation. Provide guidance on what additional data is required to enrich raw data sets for footprint measurement.
- Transform unstructured data sets provided by clients into structured data which can be ingested into our products data processing pipeline to calculate carbon emissions.
- Use our platform to calculate, map, and publish carbon footprints that will be used by a company for its carbon measurement, management, and reporting.
- Provide feedback and learnings to our product development team to improve your workflow and extend the platform's capabilities.
- カスタマーサクセスマネージャーと協力し、顧客と協業して、組織の排出量測定を完了するために必要なデータを定義する
- 顧客が計算に必要な正しいデータを準備・提供できるように支援する。また、測定用のデータを充実させるために必要な、追加データについてのガイダンスを提供する
- 顧客から提供された非構造化データを構造化データに変換し、データ処理パイプラインに取り込んでカーボン排出量を計算する
- 弊社のプラットフォームを使用して、企業が排出量の管理、レポート作成に使用するカーボンフットプリントを計算、公開する
- 弊社の製品開発チームに機能のフィードバックを提供し、また、ワークフローを改善してプラットフォームの機能の改善に寄与する
You should be/have:
- At least 2 years of relevant experience in a data analytics role.
- Able to communicate, verbally and written, in business level Japanese to interact with Japanese clients
- Skills in writing SQL queries, data engineering and structuring skills, or have a quantitative background with a desire to learn.
- Proficiency in Python.
- Be detail oriented and willing to make sense of unstructured data. You understand how numbers from an excel sheet translate to real world transactions and operations.
- A strong ownership of your work, and are comfortable working in a client facing role.
- A strong verbal and written communicator who can simplify and communicate complex concepts to a novice audience.
- Excited to be part of a team that is looking to solve climate change, and are passionate about this space.
- Bonus: You have prior experience in climate or sustainability related industry and knowledge on Green House Gas Accounting Principles.
- Prior experience in startups and working with remote teams.
- Comfortable with change and ambiguity.
- データ分析職、あるいは関連する職種で少なくとも 2 年の経験があること
- SQLクエリの作成、データエンジニアリング、構造化のスキルを有していること。またはスキルをキャッチアップできる、定量分析に関するバックグラウンドを有していること
- Python言語に習熟していること
- 細部にこだわり、非構造化データを理解する意欲があること。Excelシートの数字が実際の取引や運用を表しているか、ビジネスとデータの関連性を理解していること
- 自分の仕事に強い責任感を持ち、顧客と直接対面する役割に抵抗がないこと
- 複雑な概念を初心者にわかりやすく伝えることができる、口頭および書面での優れたコミュニケーション能力があること
- 気候変動の解決を目指すチームの一員になることに意欲があり、この分野に情熱を持っていること
- 加点要素: ビジネスレベルの英語、あるいは気候またはサスティナビリティ関連の業界での経験があり、炭素会計に関する知識があること
Benefits
- Remote-first
- Competitive Salary
- Flexible work hours
- Health Insurance
- A new Mac book and budget for WFH accessories
- L&D yearly budget
- upto 4% employer matching for 401(k)
About the Company

Terrascope
<p>Terrascope is a enterprise grade, end to end, smart carbon measurement and management SaaS platform. And we are on a mission to empower companies to build a credible pathway to net zero.</p> <p>By combining data science, machine learning and sustainability expertise, our platform provides the data, analytics and digital tools to help large companies decarbonise their business operations and supply chains.</p> <p>Powered by technology, data science and deep sustainability expertise, Terrascope is on mission is to drive decarbonisation at scale by helping enterprises:</p> <p>- Measure with confidence. Terrascope increases the speed, accuracy, and confidence of scope 1, 2, and 3 emissions measurement, while ensuring compliance with GHG protocol, reporting frameworks and assurance standards.</p> <p>- Manage complexity. Terrascope helps enterprises focus decarbonisation efforts where it matters the most by identifying emission hotspots and defining next best actions to make tangible progress towards net zero.</p> <p>- Collaborate seamlessly. Terrascope enables collective action and shared accountability by allowing internal and external stakeholders to centralise data </p>
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