Regional Data Analytics Manager, Apac

**Regional Data Analytics Manager, Radiology APAC**

**YOUR ROLE AND RESPONSIBILITIES**:

- Lead in creating data, reporting & analytics roadmap for APAC markets and aligned with regional business priorities.
- Ensure regionally, that Commercial data provided for reporting, dashboards and advanced analytics purposes are of high integrity, quality, timely and fit for purpose to meet the needs of the Commercial organization with a continuous improvement mindset.
- Identify business & operational data sources needed to produce meaningful insights that are translatable to support business goal achievement (e.g. Solution & new business model KPIs, pricing, micro-segmentation & targeting, KAM planning, opportunity mgmt., Device2.0 injector roadmap, digital customer engagement KPIs, etc.).
- Build, deploy, and maintain elegant reports/dashboards using data visualization tools for defined KPIs, assist with ad-hoc reporting and analysis needs of different levels of the Commercial organization (i.e. APLT, Regional Marketing, country, field teams etc.).
- Analyse marketing and sales performance data to support the Commercial organization to improve customer engagement and business-related objectives.
- Translate and synthesize complex analytics into actionable recommendations and propose scalable solutions.
- Develop and run learning programs to upskill the organization to leverage and utilize data and advanced analytics to support decision making.

**WHO YOU ARE**:

- Degree in quantitative field (Statistics, applied mathematics, computer scien/maching learning, Natural Sciences, Management Science or related field, etc.)
- 5+years experience in the field of Business Analytics/ Advanced Analytics, Data Science. Experience within the Pharma / Medical Device industry is ideal.
- Strong business acumen, i.e understanding key operational metrics of business and impact on profit and loss, revenue, customer retention, etc.
- Proficiency in data visualization tools like Tableau or PowerBI.
- Experience in machine learning tools such as H2O.ai, Spark MLlib, Tensorflow, PYtorch etc.,SAP data structures, R, Python and/or SQL is a plus.
- Experience using cloud serviced (AWS, GCP or Azure) for data analysis and modelling.
- Hands on experience handling and analysing Commercial internal and external data (Sales data like Ex-factory sales, in-market sales, service, CRM, Sales Force effectiveness data, and data related to marketing, promotional activities, etc.).
- Impeccable attention to detail and uncompromising attitude for data accuracy.
- Ability to communicate in a clear, concise, and compelling way using the most appropriate approach to cater to different stakeholders with varying degrees of data and analytics knowledge and experience.
- Possess a strong motivation to expand your field of expertise (especially Advanced Analytics skills).
- Proven track record in leading & implementing impactful data & reporting visualization projects (e.g. Financials, Marketing, Sales) and Advanced Analytics projects (e.g. marketing mix modeling, promotional response, sales force sizing and structure, optimization, digital channel analytics, etc.).
- Project management skills in an agile scrum setting to deliver scalable advanced analytics/data science projects.
- Knowledge in the areas of multivariate analytics, machine learning, predictive modeling clustering and /or classification techniques is an advantage.

**YOUR APPLICATION**-
**IMPORTANT NOTE for POTENTIAL CANADIAN CANDIDATES**: This position requires full vaccination against COVID-19.**Location**:

- Singapore : Singapore : Singapore**Division**:

- Pharmaceuticals**Reference Code**:

- 790063