Analytics Engineer
NABLA Mobility — 4-8-6 Iidabashi, Chiyoda-ku, Tokyo, 102-0072, Japan
- Location
- 4-8-6 Iidabashi, Chiyoda-ku, Tokyo, 102-0072, Japan
- Employment type
- Permanent Employee
- Telework
- Remote Possible
- Salary
- JPY 7,500,000 – 9,000,000 per Year
- Education
- Master's Degree
- Flexitime
- Eligible
- Probation period
- 6 months
- Break time
- 60 minutes
- Days off
- Saturdays and Sundays off, National holidays off, Paid leave
- Social insurance
- Health Insurance, Employment Insurance, Welfare Pension Insurance, Workers Accident Compensation Insurance
- Smoking policy
- No smoking indoors
- Languages
- Limited Professional English
Mission
NABLA Mobility Inc.は、AI・機械学習（ML）を活用し、戦略的ネットワークソリューションの開発・提供によって、航空会社の運航最適化を推進するスタートアップです。 航空業界では現在も多くの意思決定が手作業や専門家の判断に依存しています。それにより、乱気流といった突発的な事象や交通混雑、遅延といった課題が、フライトの安全性や運航効率、環境負荷軽減に影響を与えています。 当社は、リアルタイムデータと過去の運航データを高度に解析することにより、これらの不確実性に対処します。
当社の航空運航最適化ソフトウェア『Weave』は、航空会社の戦略的な飛行の変更における最適解の提案とトレードオフを定量的評価し、燃料消費量削減と安全性向上の両立を支援するアドバイザーツールとして機能しています。また、障害物データ処理を半自動化するソフトウェア『OBST』は、空港周辺のNOTAMやAIP情報をもとに、障害物による影響を、迅速かつ簡便に評価し、離陸性能計算のプロセスを自動化します。航空会社固有の運航条件にも対応できる設計であり、さらに、日々の運航における乱れを事前に察知し、的確に対応するための「Operational Forecaster」も提供しています。当社は業界のパイオニアとして、最先端の学術理論とテクノロジー、そして航空実務における深いノウハウを融合させ、世界の航空業界の未来をリードしています。
NABLA Mobility Inc. is a startup driving operational optimization in the aviation company through the development and provision of strategic network solutions powered by AI and machine learning (ML).
Despite advances in technology, decision-making in the aviation sector still heavily relies on manual processes and expert judgment. As a result, issues such as turbulence, traffic congestion, and delays continue to impact flight safety, operational efficiency, and environmental sustainability.
We address these uncertainties by conducting advanced analyses of real-time and historical flight operation data.
Our flight optimization software, "Weave", functions as a decision-support tool that quantitatively evaluates trade-offs and proposes optimal solutions for strategic flight changes. It enables airlines to reduce fuel consumption while enhancing safety.
In addition, our software "OBST" semi-automates obstacle data processing. Based on NOTAMs and AIP information around airports, OBST quickly and easily evaluates the impact of obstacles and automates the takeoff performance calculation process. It is designed to accommodate the specific operational conditions of each airline.
We also offer a flight disruption forecasting solution, which detects potential operational irregularities in advance and supports timely, effective responses.
As a pioneer in the industry, NABLA Mobility integrates cutting-edge academic theories, advanced technologies, and deep operational know-how to lead the future of global aviation.
Responsibilities
BizDevと緊密に連携しながら、顧客データの分析から提言まで一気通貫で担う、裁量の大きな役割です。分析結果はBizDevの意思決定に直結するだけでなく、Science Teamが開発する要素技術の方向性にも影響を与えます。航空・モビリティという専門性の高いドメインで、データを起点にビジネスと技術開発の両方に貢献できるポジションです。
※必須要件以外の技術スタック（AWS CDK・TypeScript等）については、未経験でも意欲があればご応募いただけます。入社後にキャッチアップいただく想定です。
主な業務内容
• 顧客データの分析を通じたビジネス課題・改善機会の発見
• 顧客から提示された課題に対するデータ検証・フィージビリティスタディ
• 自社サービスの効果測定・定量評価
• 分析パイプラインの構築・自動化（AWS CDK使用、TypeScript推奨）
• BizDevチームへの分析結果の共有・提言
• 顧客へのプレゼン資料作成・提案
＜業務内容備考＞
雇入れ直後：上記参照
変更の範囲：当社における各種業務全般
This is a highly autonomous role working in close partnership with the Business Development (BizDev) team, responsible for end-to-end ownership of customer data analysis, from identifying insights to delivering recommendations.
The results of your analyses will directly influence BizDev decision-making and help shape the direction of core technologies being developed by the Science Team. This position offers a unique opportunity to contribute to both business growth and technology development through data-driven insights in the highly specialized aviation and mobility industries.
While some technologies used by the team, such as AWS CDK and TypeScript, are not required qualifications for this role, candidates with a strong willingness to learn are encouraged to apply even if they do not have prior experience with them. We expect successful candidates to develop these skills after joining the company.
Key Responsibilities
Identify business challenges and improvement opportunities through customer data analysis
Conduct data validation and feasibility studies for customer-defined business challenges
Measure and quantitatively evaluate the effectiveness of company services and solutions
Design, build, and automate data analysis pipelines using AWS CDK (TypeScript preferred)
Communicate analytical findings and provide recommendations to the BizDev team
Prepare presentation materials and proposals for customers
Scope of Work
Upon joining: Responsibilities described above
Potential future scope: General business operations and duties within the company
Requirements
■学位
•理工系の修士号以上
■実装能力：以下のいずれかを満たしている方
• コンピューターサイエンス系学科の修士号以上
• プログラミング言語を用いたシステム開発またはデータ分析の実務経験（3年以上）
※プログラミング言語例：JavaScript、TypeScript、Ruby、Python、C、C++等
■データ分析経験：データ分析を通じて、以下のいずれかを業務として行った経験（3年以上）
• ビジネス課題・機会の発見
• 評価指標の設計と提案
• 施策の効果検証と定量評価
■英語力
•ビジネスレベル以上の英語スキル
尚可要件
• 航空・宇宙領域に携わった経験または学位
• 自身でデータ分析システムを実装・構築した経験
• AWS CDKを用いたインフラ構築経験（言語不問。TypeScriptでの実装経験は特に歓迎）
Education
Master's degree or higher in Science, Technology, Engineering, or Mathematics (STEM) fields
Technical Implementation Experience
Candidates must meet at least one of the following criteria:
Master's degree or higher in Computer Science or a related discipline
Minimum of 3 years of professional experience in software development or data analysis using programming languages
Examples of relevant programming languages include:
Python
JavaScript
TypeScript
Ruby
C
C++
and similar languages
Data Analysis Experience
Minimum of 3 years of professional experience using data analysis to perform one or more of the following:
Identifying business challenges and opportunities
Designing and proposing evaluation metrics and KPIs
Measuring and quantitatively evaluating the effectiveness of business initiatives
English Proficiency
Preferred Qualifications
Professional experience in, or an academic background related to, the aviation or aerospace industry
Hands-on experience designing, implementing, and maintaining data analysis systems
Experience building cloud infrastructure using AWS CDK (any programming language). Experience implementing AWS CDK with TypeScript is particularly welcome.
Overtime
法定時間外 (125％) 法定休日 (135％) 深夜勤務 (25％)
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