東京23区の転職求人一覧

•M&Aを中心とした会社全体の短期・中期・長期事業戦略企画・立案・実行•M&A戦略策定、市場調査、企業分析、投資先企業の選定•M&Aソーシング、企業DD・価値評価、Bidding、M&A契約書締結、PMI•各M&Aプロジェクトの責任者として社内外のステークホルダーマネジメント•既存・新規投資先のバリューアップ及び事業シナジー構築#LI-Hybrid#LI-KN

• Lead formulation of the M&A and Corporate Strategy Plan (known as 中長期計画) • Lead and manage the M&A process from target identification to post-merger integration.• Conduct financial modeling, due diligence, and valuation analysis for potential deals.• Collaborate with legal, finance, and external advisors on deal structuring and negotiations.• Identify strategic opportunities for growth through acquisitions, investments, or divestitures.• Develop and maintain relationships with potential target companies, investors, and industry experts.• Support leadership in strategic decision-making and business planning.

Advanced Data Modeling & TransformationPipeline Design: Architect and implement scalable, automated data transformation workflows using DBT and modern data stack patterns.Multi-Layer Architecture: Lead the development of Data Vault (Silver Layer) core products designed to feed high-performance Dimensional (Gold Layer) analytical models.Quality Assurance: Build and maintain comprehensive testing and validation frameworks to ensure rigorous data quality and integrity.Automated Infrastructure & DevOpsInfrastructure as Code: Utilize Terraform to develop and manage infrastructure, ensuring all components are version-controlled.CI/CD/CO: Design and execute automated pipelines for Continuous Integration, Delivery, and Operations.Governance & Security: Establish deployment pipelines that strictly adhere to segregation of duties principles.Collaboration & DeploymentOperational Alignment: Coordinate closely with Ops teams to manage seamless transition

Architecture & InfrastructurePlatform Design: Architect and implement scalable, production-grade data platform components using AWS, Databricks, and modern data stack patterns.IaC Management: Develop and maintain Infrastructure as Code (IaC) to ensure environment standardization, reproducibility, and automation.Data Engineering & OperationsPipeline Leadership: Lead the development of critical data pipelines, ensuring they adhere to strict security, reliability, and performance standards.Large-Scale Processing: Design complex transformation workflows capable of handling massive datasets with maximum efficiency.Observability: Implement advanced monitoring and observability solutions across the entire data ecosystem to ensure platform health and visibility.Compliance & GovernanceSystems Integrity: Ensure all data components meet organizational requirements for segregation of duties and rigorous data governance.#LI-Hybrid#LI-KN

Introduction:Join our forward-thinking team, a premier luxury e-commerce mall in Japan, as we seek a talented and analytical UX/UI Designer. In this role, you will use your expertise in user experience design and data analysis to create elegant and intuitive shopping experiences that reflect the sophistication and exclusivity of our brand. Your work will directly contribute to enhancing user satisfaction and driving business growth.Responsibilities:●Design Development: Conceptualize and implement visual elements of the website, ensuring a seamless and aesthetically pleasing interface across all devices.●User Research: Conduct user research and usability testing to gather insights that inform design decisions. Utilize a variety of data gathering techniques to ensure a deep understanding of user behaviors and needs.●Data Analysis: Regularly analyze performance metrics and user feedback to refine and optimize the user experience. Employ tools s

Hiring for Project Manager, who can take care of multiple small scale project or 1 large scale project.1. Communicate with BU to discuss the requirement and make a proposal and kick off the project.2. Make a detailed schedule and execution plan.3. Execute the project and perform monitoring.4. Provide the status of project on regular frequency to different stakeholders.5. Manage Project Risk and issues and work on mitigation plan for the same.

-Collaborate with business units to gather, interpret, and align requirements with conversational AI solutions that enhance customer support operations.- Act as a liaison between customers and the technical team, ensuring customer needs are met and their feedback is incorporated into product enhancements.- Monitor and measure the impact of deployed AI technologies, reporting on their effectiveness and adjusting strategies as needed to optimize outcomes.- Lead the implementation and enhancement of AI copilot capabilities to support customer support operators.- Ensure ongoing customer satisfaction by managing expectations and continuously delivering value through innovative AI solutions.- Utilize expertise in chatbots, Natural Language Understanding (NLU), dialogue design, and knowledge management systems to drive improvements in customer interactions.- Engage in the development and optimization of FAQ systems, Interactive Voice Response (IVR)

•Manage accounting transactions, closings, and reconciliations•Publish financial statements on time•Ensure timely payments and prepare tax returns•Handle balance sheets, audits, and financial reports•Maintain confidentiality, perform backups, and comply with regulations

・Manage and coordinate all activities related to Mergers & Acquisitions for IT systems and processes・Present reports and updates on IT project status, risks, and mitigation.・Work with local and global IT teams and cross-functional stakeholders

Responsibilities:Find the best way to address business needs / solve problems at a conceptual level and then work with the business and technical stakeholders to make that a reality, by:• Using your knowledge of business analysis to plan and execute an approach to get to the heart of the business need and problem.• Collaborating with other technical and non-technical stakeholders to elicit requirements that ensure holistic and complete solutions• Investigating the current usage and functionality of internal policies and procedures, tools, and technologies as needed to support requirement analysis and definition;• Analyzing and clearly documenting business/functional processes and requirements using standard analysis methodologies and tools, including demonstrating traceability between requirements at different levels;• Communicating with stakeholders across different levels and functions to articulate the issues and get people to take action