Associate Manager, Reporting Analytics Financial Planning & Analytics CoE

Associate Manager, Reporting Analytics Financial Planning & Analytics CoE

About Astellas:

At Astellas we are a progressive health partner, delivering value and outcomes where needed.

We pursue innovative science, focusing initially on the areas of greatest potential and then developing solutions where patient need is high, often in rare or under-served disease areas and in life-threatening or life-limiting diseases and conditions.

We work directly with patients, doctors and health care professionals on the front line to ensure patient and clinical needs are guiding our development activities at every stage.

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.

We work closely with regulatory authorities and payers to find new ways to ensure access to new therapies. We deliver the latest insights and real-world evidence to inform the best decisions for patients and their care-givers, to ensure the medicines we develop continue to provide meaningful outcomes.

Beyond medicines, we support our stakeholder communities to drive initiatives that improve awareness, education, access and ultimately standards of care.

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

Education/Qualifications:

• 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.