Connected Car Service Data Platforms Engineer（Staff, Assistant Manager）
- 採用企業名
- 日産自動車株式会社
- 職種
-
商品企画・販売促進 - リサーチ
IT（PM・SE） - データサイエンティスト・データアナリスト
IT（PM・SE） - AI・MLエンジニア
技術系（機械設計・製造技術） - IoT・AI・データマネジメント
- 雇用形態
- 無期雇用
- 勤務地
-
神奈川県
- 仕事内容
-
...
＜職務内容/Main Tasks＞
Connected Car Services (CCS) is a business function, part of Nissan global headquarters. Our ambition is to offer best in class digital experience to our customers leveraging connected technologies and data. We are responsible to drive globally for Nissan, the car + services transformation journey together with our regional teams such as JPN/US/EUR, while enhancing customer touchpoint including App and in vehicle communication through navigation system/display. We are team of highly diverse & passionate individuals constantly looking for innovative opportunities with an objective to create more pleasurable experience throughout the ownership cycle. Our end goal is to create innovation that excite our customers.
This role is a part of Nissan Connected Car Services Data, Platform and Analytics team that is including teams working on businesses related to cars connectivity, Data Science, ML, AI. It is international and global environment working with all geographies and countries where Nissan has presence.
This role requires you to:
• Design and implement strategies to democratize data access, ensuring that data is easily accessible to all team members.
• Evaluate and select appropriate data platforms, analytics tools, and machine learning frameworks to meet the team's needs that are contributing to overal Nissan data strategy.
• Collaborate with data engineers, data scientists, and other stakeholders to develop innovative solutions and drive data democratization initiatives forward.
• Identify and address any data governance and security concerns related to data democratization efforts.
• Develop and maintain (with collaboration with ISIT division) data pipelines, ensuring data quality and availability.
• Collaborate with cross-functional teams to understand their data needs and requirements.
• Provide training and support to team members on using data platforms, analytics tools, and machine learning techniques effectively.
• Stay up-to-date with the latest advancements in data democratization, data platforms, analytics, and machine learning technologies.
＜アピールポイント（職務の魅力）/Selling point of this position＞
Opportunity to take a leading role in the support the Digital Transformation of the company, work within a talented multi-disciplined team with a track record of delivering high profile, business transformational projects.■休日：週休二日制, 年末年始
- 求める経験
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...
＜登録資格( 経験/資格など )/Skills and Experience Required＞
■MUST
• Data Analysis: Skills in data analysis, interpretation, data modeling, and data visualization are necessary. Python.
• Technical Skills: Cloud (AWS - preferred, GCP)
自動車業界経験:不要/Experience of the car industry :Not Required
■TOEIC：800
■WANT
• Ability to work in a fast-paced, global environment.
• Data Strategy: Business insights and strategic thinking are required to understand the relationship between business goals and data to develop data strategies.
• Data Architecture: Knowledge and experience in data modeling, data integration, data warehousing, data lakes, and other aspects of data architecture design and development are necessary.
• Communication Skills: Effective communication with stakeholders, gathering and conveying requirements, presentation skills, and team management are important communication skills.
• Flexibility and Learning Agility: Flexibility and a willingness to learn are required to keep up with technological advancements. Curiosity and a thirst for exploring new technologies and tools are also important.
自動車業界経験:不要/Experience of the car industry :Not Required
■TOEIC：800
＜求める人物像/Please describe successful candidate image (Personality)＞
Flexible and agile learner that can quickly learn new technologies and concepts. Being able to speak and explain those concepts to non technical users.■職種未経験者：不可
- 年収
- 900万円 - 1060万円
- 語学力
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英語力：中級以上TOEIC：800点以上■英語使用頻度：社内業務において使用(メール交換、会議資料作成、プレゼンテーション)
