Role Description We are seeking a Senior Master Data Governance Analyst to play a critical role in strengthening, standardizing, and scaling our global data governance framework. This individual will operate as a strategic business-facing partner, driving the adoption of enterprise-wide master data standards established by leadership. This is not an IT configuration role. Success requires strong business acumen, hands-on governance experience, and the ability to translate standards into practical, scalable business execution. Advanced English required, please submit your resume in English. Key Responsibilities - Global Data Governance Leadership & Business Partnership - Serve as a senior governance partner to global data owners, data stewards, and business leaders, driving adoption of enterprise master data standards and policies. - Lead the rollout and governance of global master data initiatives, ensuring consistency while accommodating regional business needs. - Facilitate high-impact workshops, governance forums, and working sessions across countries and functions to drive alignment, decision-making, and accountability. - Influence stakeholders at multiple levels, ensuring sustained adoption and continuous improvement of governance practices. - Partner with internal audit and compliance teams to ensure adherence to SOX and internal control requirements. - Standards Implementation & Process Excellence - Translate global governance standards into scalable, actionable business processes and operating models. - Act as a bridge between business and IT, ensuring governance requirements are clearly defined, documented, and implemented effectively. - Document end-to-end processes, data standards, and governance frameworks to support global consistency and clarity. - Identify and drive process optimization opportunities to improve efficiency, scalability, and data reliability. - Solution Enablement & Data Integrity - Collaborate with IT to design and enhance governance workflows (e.g., approvals, change requests, validations) within a master data governance solution. - Support data migration, validation, and reconciliation activities across systems, ensuring data integrity and compliance. - Define and monitor KPIs and dashboards to measure data quality, governance effectiveness, and adoption across regions. - Communicate data insights and governance performance to stakeholders and leadership teams. - Change Management & Adoption - Lead change management efforts to support governance adoption, including stakeholder engagement, training, and communication strategies. - Develop enablement materials and ensure successful onboarding of new governance processes and tools. - Act as a champion for data governance culture, promoting accountability and ownership across the organization. Qualifications - Bachelor’s degree in Business, Information Systems, Engineering, or a related field. - 5+ years of experience in data governance, master data management, data quality, or business process transformation. - Proven experience operating in a global or multi-regional environment, driving cross-functional initiatives. - Strong hands-on experience with master data domains (Customer, Vendor/Supplier, Material/Product, Finance). - Solid understanding of SAP ERP environments, including data structures and integration points. - Experience with a master data governance solution strongly preferred. Company Description Lincoln Electric is a high-performance industrial machinery and technology leader who helps customers manufacture and maintain vital equipment and infrastructure. Lincoln Electric’s innovative solutions enable higher quality and productivity across a variety of processes including welding, cutting, brazing, machining, process automation, and field repair. The Company leverages proprietary technologies and expertise in materials science, power electronics, automation, and intelligent software to help customers build better and achieve resilience in their operations. Headquartered in Cleveland, Ohio, Lincoln Electric operates 71 manufacturing and automation facilities across 20 countries and serves customers in over 160 countries.

Role Description Are you a skilled data engineering professional with a passion for clinical research? Parexel is seeking a Senior Clinical Data Engineer to join our Global Data Operations team. In this pivotal role, you will leverage your technical expertise to support the conduct of clinical trials, serve as an internal subject matter expert, and lead cross-functional projects with sponsors and data management teams. As a Senior Clinical Data Engineer, you will work independently and collaboratively to manage electronic data, eClinical technologies, and systems while maintaining the highest standards of quality and regulatory compliance. You will also mentor team members and drive process improvements across the organization. Key Responsibilities - Project & Technology Management - Lead and implement Data Receipt Agreements with vendors through cross-functional collaboration - Program and configure import procedures for data ingestion using SAS, Workbench, or alternative technologies - Design and execute reconciliation checks to ensure accurate data transfer - Program offline listings and custom reports to provide actionable insights - Aggregate data across multiple sources and manage external data effectively - Handle missing values, raw data files, data structures, and SAS dataset operations - Review and analyze data outputs to provide insights to study teams and clients - Ensure first-time quality on all deliverables - Manage electronic data timelines and coordinate with project teams - Lead programming teams to successful study completion within timelines and budget - Deploy and manage data management technology (Workbench, SAS, R, etc.) - Documentation & Compliance - Maintain comprehensive study documentation in accordance with SOPs, guidelines, and work instructions - Ensure traceability and regulatory compliance across all activities - Document deviations and communicate them to project teams - Standards & Process Improvement - Participate in creating standards through tools (SAS macros, libraries, processes) - Develop and implement project-specific tools and templates - Improve efficiencies through standardized project structures and naming conventions - Support business development and bid defense meetings Qualifications - Bachelor's degree (or equivalent) in a relevant science discipline - Proficiency in at least one programming language (SQL, SAS, or R) - Strong analytical and problem-solving skills - Ability to make informed decisions in ambiguous situations - Application of Clinical Research Standards (CRS) concepts - Root cause analysis capability - Fluent written and oral English Requirements - Proficiency in at least one of the following: SQL, SAS, or R - Knowledge of SOPs, guidelines, work instructions, system life cycle methodologies, ICH-GCP, and applicable regulations (e.g., 21 CFR Part 11) - Proven practical application of regulatory and compliance frameworks - Experience working with at least two systems used to aggregate data in clinical trials (e.g., SAS, Workbench, Elluminate) - Strong background in clinical research industry or similar field

Role Description 弊社のトップクライアントであるLINEヤフーグループ企業にて、月間3,000万人以上が利用する大規模サービスのデータ基盤構築をリードするData Engineerを募集しています。独自の検証データや大規模なユーザー行動データを活用し、データドリブンな意思決定、AI活用、プロダクト成長を支える重要なポジションです。 本ポジションでは、同社が保有する独自の「検証データ」と月間3,000万人以上のユーザーから得られる「行動ログ」を活用するためのデータ基盤設計・構築・運用を担当していただきます。 - GCP / BigQueryを活用したDWHおよびデータマートの設計・構築・運用 - 大規模データパイプライン（ETL / ELT）の設計・開発・最適化 - データサイエンティストや事業部門向けのデータ活用環境構築 - 機械学習モデルの安定運用を実現するMLOps基盤設計・構築 - データ品質向上のための監視システム導入・運用 - データカタログやETL管理ツール導入によるデータガバナンス強化 - セルフサービス分析を実現するためのツール開発・環境整備 Qualifications - ETL / ELT処理の設計・開発・運用経験 - データウェアハウス設計経験 - データモデリング経験 - AWS / GCP / Azureなどクラウド環境でのデータ基盤構築経験 - 大規模データパイプラインの構築・最適化経験 - チーム開発経験 Requirements - 歓迎: Dataform - 歓迎: BigQuery - 歓迎: MLOps基盤構築経験 - 歓迎: 機械学習システムの構築・運用経験 - 歓迎: マルチクラウド環境での運用経験 - 歓迎: クラウドコスト最適化経験 - 歓迎: セキュアなデータ基盤構築経験 - 歓迎: データガバナンス設計経験 - 歓迎: DMBOKなどデータマネジメント知識 Benefits - 想定年収: 850万円〜1,200万円 - 勤務地: 東京都中央区築地（フルリモート可） - 福利厚生: - 各種社会保険完備 - 交通費支給 - フルリモート勤務制度 - フレックスタイム制度 - PC貸与 - 書籍購入補助 - 技術カンファレンス参加支援 - 社内勉強会 - 資格取得支援 - 副業可（会社規定による）

Role Description JLL Technologies Enterprise Data team is a newly established central organization that oversees JLL’s data strategy. The Data Engineering professional will work with our colleagues at JLL around the globe in providing solutions, developing new products, and building enterprise reporting & analytics capability to reshape the business of Commercial Real Estate using the power of data. Data Engineer 1 is an entry-level role designed for motivated individuals who want to grow within a diverse and fast-paced environment. You will join our Enterprise Data team as an individual contributor, working under the guidance of senior engineers to develop data solutions that are strategic for the business and built on the latest technologies and patterns. This is a global role that requires collaboration with the broader JLLT team at the country, regional, and global level. As a Data Engineer 1 at JLL Technologies, you will: - Support the development of information infrastructure and data management processes as JLL moves toward a more sophisticated, agile, and robust target state data architecture. - Assist in building systems that ingest, cleanse, and normalize diverse datasets, contribute to data pipelines from various internal and external sources, and help structure previously unstructured data. - Learn and apply modern data architecture approaches under the guidance of senior engineers to help meet key business objectives and contribute to end-to-end data solutions. - Develop an understanding of how data flows and is stored across multiple enterprise applications such as CRM, Broker & Sales tools, Finance, and HR systems. - Support the development of data management and data persistence solutions for application use cases, leveraging both relational and non-relational databases. - Participate in code reviews, documentation, and knowledge sharing activities to grow your technical expertise and contribute to team best practices. Qualifications - 0–2 years’ overall work experience and a Bachelor’s degree (or in progress) in Information Science, Computer Science, Mathematics, Statistics, or a quantitative discipline in science, business, or social science. - Foundational knowledge of Python and SQL; exposure to data engineering tools such as Spark, Kafka, or cloud storage platforms is a plus. - Familiarity with Azure cloud services such as Azure SQL Server, Azure Data Lake Storage, Cosmos DB/MongoDB, or Azure Event Hubs is advantageous but not required. - Awareness of data pipeline concepts, data lake environments, and event-driven architectures; willingness to learn and apply these in a hands-on setting. - Experience or coursework involving data processing, ETL workflows, or working with structured and unstructured data will be an advantage. - A collaborative team player who is reliable, self-motivated, and capable of contributing within a fast-paced environment working across cross-functional teams. Benefits - Join an entrepreneurial, inclusive culture where we succeed together – across the desk and around the globe. - Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, benefits, and pay. - Develop your strengths and enjoy a fulfilling career full of varied experiences. Company Description JLL is a leading professional services firm that specializes in real estate and investment management. Our vision is to reimagine the world of real estate, creating rewarding opportunities and amazing spaces where people can achieve their ambitions. JLL Technologies is a specialized group within JLL. Our mission is to bring technology innovation to commercial real estate, delivering unparalleled digital advisory, implementation, and services solutions to organizations globally.