General Information

Job Advert Title
Associate Manager, Reporting Analytics FPA COE
United Kingdom, United States
Function/Business Area
Data & Analytics, Finance, Tax & Audition
FP&A COE System
Employment Class


Associate Manager, Reporting Analytics Financial Planning & Analytics CoE

About Astellas:

At Astellas we can offer an inspiring place to work and a chance to make your mark in doing good for others.
Our expertise, science and technology make us a pharma company. Our open and progressive culture is what makes us Astellas. It’s a culture of doing good for others and contributing to a sustainable society.
Delivering meaningful differences for patients is our driving force. We all have a significant opportunity to make that difference, working locally in the areas we know best, whilst drawing inspiration from the different insights and expertise we have access to globally and from our innovative, external partners.
Our global vision for Patient Centricity is to support the development of innovative health solutions through a deep understanding of the patient experience. At Astellas, Patient Centricity isn’t a buzzword - it’s a guiding principle for action. We believe all staff have a role to play in creating a patient-centric culture and integrating an awareness of the patient into our everyday working practices, regardless of our role, team or division.
Our ethos is underpinned by the Astellas Way, comprising five core values: patient focus; ownership; results; openness and integrity.
We are proud to offer an inclusive and respectful working environment that fosters collaboration and ownership.
Our aspiration is to bring the best brains together, to provide them with world-leading tools and resources and a unique structure that fosters real agility and entrepreneurial spirit.
About This Job:
The Associate Manager, Reporting & Analytics position is responsible for collaborating with Global Finance teams along with other stakeholders within and outside of Finance to identify, develop and implement advanced analytics solutions and supporting methodologies to facilitate decision-making activities.

Essential Job Responsibilities:

  • Support the strategies and objectives of the Associate Director, R&D Reporting & Analytics
  • Lead portfolio of advance analytics projects to increase efficiencies across the Finance organization
  • Collaborate with AIA to lead the implementation of predictive and advanced analytics within R&D Finance and support similar CFP&A & Global Finance initiatives
  • Collaborate with outsourced resources to perform BAU activities (e.g., MResult)
  • Provide subject matter expertise on best practices across system, technical, process and analytical capabilities
  • Collaborate with BIRA/IDEA team and leverage improvements (Tableau server, SQL) for R&D Finance reporting
  • Lead stakeholder management for Financial Data Analytics
  • Balance stakeholder expectations with supply and demand of available resources to deliver on pipeline of analytical needs
  • Inject statistical and other data analytic techniques into the routine predictive, prescriptive and descriptive modelling, simulation and reporting.
  • Provide points of view on feasibility and timing to implement analytics models for product components
  • Meet regularly with internal and external stakeholders to ensure mutual understanding of the project design, required output and timelines
  • Execute analytics projects using R, SQL, or Python to prepare and/or merge internal data assets and perform advanced analysis
  • Contribute to multiple internal data initiatives, including but not limited to new tool development, automation and machine learning, NLP, simulation, data integration, visualization and informatics dashboards.
  • Ensure quality and consistency of complex analytics deliverables by developing robust processes and capabilities specific to internal company data projects
  • Maintain data integration from multiple global systems
  • Act as key liaisons with numerous stakeholder groups outside of R&D Finance (such as OIRE, AIA and other Global Finance groups)
  • Ensure the accurate gathering of business requirements and manage implementation and adoption of key system and process changes accordingly
  • Drive process and operational efficiency through efficient system architecture and data processing
  • Ensure data quality & reliability across reporting and analytical platforms.
  • Perform data discovery incorporating new datasets into existing analytics.
  • Develops ad hoc reports and models as required by stakeholders
  • Manage external vendor services.
  • Other such duties as may be reasonably required by the business.

Essential Knowledge & Experience:

  • University degree in Statistics, Mathematics, Engineering, Computer Science or Data Science or related discipline
  • Master’s in Statistics, Mathematics, Engineering, Computer Science or Data Science or 3 years relevant experience
  • Fluency in local language, English conversational and business English (equivalent to Toefl IBT 105+, or 7.5 IELTS, CAE- Cambridge English advanced exam, TOEIC Listening 400+, Reading 400+, Speaking 150+, Writing 150+)
  • Good experience of financial analytics and/or data science experience, preferably in a multi-national, multi-currency environment
  • Knowledge of various statistical modelling techniques and their application within complex analytical projects, e.g., regression modelling, ROI, portfolio attrition, monte-carlo analysis
  • Executing analysis using SQL, R / Python, or other statistical programming languages and BI tools (e.g., Tableau, Qlik Sense). Prepare data, create new variables, and perform statistical testing
  • Project Management and Change Management skills
  • Demonstrated ability to work with internal customers and external vendors to achieve business objectives
  • Poise, confidence, adaptability and effective influencing skills needed for interacting with Astellas leaders in challenging situations.
  • Demonstrated understanding of how information flows between enterprise-grade systems
  • Demonstrated initiative and creativity in pioneering new approaches and ways of working
  • Effective interpersonal skills and with ability to operate among diverse cultures
  • Strong teamwork and partner behaviors
  • Well-developed written and oral communication skills in English
  • Adept with MS Office applications


  • Experience in the life sciences and/or demonstrate keen understanding of the clinical development lifecycle
  • Understanding of financial metrics
  • Experience successfully working in a geographically distributed team
  • Experience in text-mining, natural language processing, and natural language generation

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.