Analytics Lead

Main responsibilities and tasks

Main Responsibilities

Main Tasks

Foster the overall culture and literacy across the Polaris program

§ Actively driving the change across all hierarchy levels (up to C-level) including communications and training to foster overall data culture and literacy and ensure that the organization understands that data should be treated as an asset

§ Promote and enable new decision-making capabilities: budget and planning capabilities, real-time reporting, embedded analytics into business processes, BI self-service, dashboarding, predictive

Experience (Proficiency):

- 6-8 years of data management and analytics experience, ideally from a management consultancy or an industrial company - life sciences / pharma would be an advantage

- Functional expertise proven track record of managing use cases from ideation until industrialization

- Three or more years of leadership experience in leading cross-functional teams and enterprise wide programs, operating and influencing effectively across the organization and within complex contexts

- Functional expertise in the relevant areas of a pharmaceutical company

- Good knowledge of best-in-class use cases within life sciences / pharma

- Experience in the ideation and definition of descriptive Analytics, predictive Analytics, prescriptive Analytics, AI/ML use cases

- Experience in project management and use case portfolio management

- Experience in Financial Planning, budgeting and forecasting processes

- Experience with agile ways of working

- Proven data literacy - The ability to describe business use cases/outcomes, data sources and data management concepts, and analytical approaches/options. The ability to translate among the languages used by executive, business, and IT stakeholders

- Analytical skills - Outstanding analytical and problem-solving abilities

- Experience with SAP Analytics Cloud and SAP BW

- Experience on planning and analytics

- Experience with SAP data models

Communication / Personality (Level / Nature):

- Excellent business acumen and interpersonal skills; able to work across functions at a senior level to influence and effect change to achieve common goals

- English language

- French language would be an advantage

Key Technical Competencies Required

- Architecture and Analytics roadmap Analytics management at an enterprise level

- Master Data Management at an enterprise level

- Data Architecture

- Data visualization

- Business and Financial planning and reporting

- Data Platforms, Data Lakes, Data Warehouse (current technologies)

- SAP S/4HANA : embedded analytics, CDS, Fiori analytics

- SAP Analytics Cloud Reporting and Planning

- SAP BW/4HANA