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【日本発のグローバル製薬企業】Manager, Data Engineering
年収：800万 ～ 1000万
採用企業案件
アステラス製薬株式会社
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- 資本金103,001百万円
- 会社規模5001人以上
- 医薬品メーカー
| 部署・役職名 | 【日本発のグローバル製薬企業】Manager, Data Engineering |
|---|---|
| 職種 | |
| 業種 | |
| 勤務地 | |
| 仕事内容 |
【募集の背景 / Purpose & Scope】 The Manager, Japan Commercial Data Engineering plays a critical role in designing and implementing scalable, extensible and highly-available data pipelines on large volume data sets that will enable impactful insights & strategy for our products to support achievement of brand objectives for priority/strategic products. This position will deliver and execute Data plans that are aligned with global counterparts and address Regional specific strategic objectives, tactical requirements, and decision-making needs. 【職務の内容 / Essential Job Responsibilities】 • Translate business requirements to underlying infrastructure applications, systems, and processes to enable execution of those skills • Manage technology projects focusing on Data Warehousing and Business Intelligence in the following technology stack: AWS (e.g., S3, RedShift, etc.), Qlik, etc. • Design data systems and pipelines for processing and storing data including both structured and unstructured data • Process mapping, process improvement and translation into technical requirements • Provide oversight to existing operational solutions processes and activities. Aid in developing governance models to ensure data integrity • Define/scope projects effectively and propose a structured and practical approach to solving complex and ill-defined problems • Explore and understand sophisticated data sets, identify, formulate correlational rules between heterogenous sources and build scalable ETL and ETL workflows for effective analytics and reporting • Identify Data Validation rules and alerts based on data publishing specifications for data integrity and anomaly detection • Provide impactful and credible communication to senior stakeholders internally and externally with the ability to tailor language and knowledge to meet the needs of the business • Manage projects to include efficient resource mobilization, vendor selection, definition of scope and requirements, and achievement of timelines, budgets & deliverables 【組織 / Organizational Context】 Directly reporting to Associate Director, Japan Commercial Analytics, based in Tokyo, Japan. Working closely with JP-C business partners (e.g. Commercial Excellence, Marketing, Digital Communication), other CI teams (e.g. JP-C Insights & Strategy, Data Strategy), and Digital, Analytics Technology (DAT). 【就業環境に関する要件 / Specific Physical or Environmental Requirements】 Business trip to US/UK office |
| 労働条件 |
【勤務開始日 / Start Date】 応相談 Will be decided according to the candidate's flexibility 【契約期間 / Contract Duration】 期間の定めなし Not limited to specified period 【試用期間 / Probation Period】 試用期間原則なし No probation period in principle 【給与 / Salary】 ①基本給：当人の経歴・技術・技能等を考慮して決定 ②裁量労働制の場合：裁量労働手当として職務グレードに応じて50,000～100,000円支給 ③フレックスタイム制の場合：月間の所定労働時間を超えて勤務する時間に対して時間外勤務手当を支給 ①Base salary: will be decided by the candidate's experience, skill and capability. ②When Discretionary Work System is applied: Discretionary work allowance will be paid.(50,000～100,000yen, based on the Grade) ③When Flextime System is applied: Overtime allowance will be paid for time worked in excess of prescribed working hours. 【昇給 / Salary Raise】 有り 【賞与 / Bonus】 有り 【諸手当 / Allowance】 裁量労働手当、住宅手当、通勤手当 等 Discretionary work allowance, Housing allowance, Commutation allowance, etc. 【勤務時間 / Working Hours】 8:45～17:45（月～木）、8:45～16:00（金）、企画業務型 裁量労働制 裁量労働制の場合、所定労働時間を働いたものとみなす 8:45～17:45（Mon～Thu）、8:45～16:00（Fri） Discretionary Work System 【休日 / Holidays】 完全週休２日制（土曜・日曜）、祝日、5月1日、夏季、年末年始 Weekends(Sat and Sun), holidays, May 1st, summer vacation, New Year holidays 【休暇 / Vacation Leave】 年次有給休暇、育児休業制度、介護休業制度 等 Annual paid leave, childcare leave system, nursing care leave system, etc. 【福利厚生 / Welfare】 雇用保険、労災保険、厚生年金、健康保険、共済会制度、社宅制度、持株会制度、財形貯蓄制度 等 Employment Insurance, Industrial Accident Compensation Insurance, Welfare Pension Insurance, Health Insurance, Mutual Aid Association System, Company Housing System, Employee Shareholder Association System, Property Accumulation Savings System |
| 応募資格 |
【必須（MUST）】 • Bachelor’s in Business, IT, or related technical field• 6+ years of relevant experience in data engineering or related field, preferably in the pharmaceutical, biotech, or high-tech industries • Relevant professional experience with Big Data systems, pipelines and data processing. Ability to develop scripts and programs for converting various types of data into usable formats for reporting and analytics, and support project team to scale, monitor and operate data platforms • Strong understanding of Data Warehousing/Informatics/Business Intelligence concepts and methodologies from both operations and project execution views • Expertise in SQL and Dependency driven job schedulers • Strong communication and influencing skills to be able to communicate (verbal and written) technical and non-technical information clearly to a diverse audience and gain impact with senior-level decision makers • Excellent organizational, planning, project, vendor and resource management skills with a strong attention to detail and ability to effectively manage cross-functional projects • Solid (business, data, and technical) vendor and resource management skills • Keen analytical mind with superior problem solving and technical skills, reflecting in-depth knowledge of various secondary databases and their limitations • Politically astute with sound judgement and able to challenge respectfully and constructively • Collaborative and co-creational role-model, working horizontally, vertically, and transversally across a regional organization, including cross-functionally • Strong learning agility able to rapidly study, analyse, understand and be effective in new situations and manage new business problems • Fluent in written and spoken business Japanese and basic reading and writing in English 【歓迎（WANT）】 • Experience with Data Management Platforms (DMP) for large scale prospects data• Certifications in appropriate area(s) such as Cloud Computing Solutions (e.g., AWS suite), BI (e.g., Qlik), Google Analytics, etc. • Expertise in Python • Master’s Degree in Computer or Information/Data Sciences • Experience with healthcare |
| アピールポイント | 自社サービス・製品あり 日系グローバル企業 女性管理職実績あり 上場企業 従業員数1000人以上 シェアトップクラス 創立30年以上 年間休日120日以上 産休・育休取得実績あり 教育・研修制度充実 完全土日休み |
| 受動喫煙対策 | 屋内禁煙 |
| 更新日 | 2023/12/06 |
| 求人番号 | 3121128 |
採用企業情報
- アステラス製薬株式会社
-
- 資本金103,001百万円
- 会社規模5001人以上
- 医薬品メーカー
-
会社概要
【設立】1923年4月
【代表者】岡村 直樹
【資本金】1,030億100万円
【従業員数】14,484名 （2023年3月期末時点、連結ベース）
【本社所在地】東京都中央区日本橋本町2-5-1
【事業内容】医薬品の製造・販売および輸出入
転職・求人情報の詳細をご覧になる場合は会員登録（無料）が必要です