职位描述
Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
Key Responsibilities
1. Data Intelligence Enablement & Framework
- Optimize and continuously enhance the commercial data intelligence framework and roadmap in line with business priorities.
- Standardize data definitions business logic KPIs reporting standards and dashboard architecture to ensure consistency and reliability.
- Build scalable reporting structures and reusable data products by leveraging enterprise systems and data capabilities reducing duplication and manual effort.
- Partner with Commercial teams and Commercial Excellence Business Partners to translate priority business needs into data models dashboards metrics and actionable insights.
2. System Data and Reporting Integration
- Integrate data across DB and SFDC to streamline data logic and reporting workflows improving system efficiency and data accessibility.
- Enhance data accuracy consistency and usability across reports and dashboards.
- Document data logic reporting methodologies refresh processes and governance standards to support scalability and long-term sustainability.
3. Dashboard BI and Tech-report Development
- Design develop and maintain Power BI dashboards and commercial analytics and intelligence solutions.
- Build customer- product- channel- and sales-team-level dashboards to support data-driven decision-making.
- Enhance dashboard usability automation and self-service capabilities to improve adoption and efficiency.
4. AI-enabled Analytics and Automation
- Explore and apply AI-enabled analytics to improve reporting efficiency business insight generation and risk/opportunity identification
- Support automation of recurring reports data cleansing data tracking and insight generation
- Partner with IT digital and DSC teams where needed to evaluate scalable AI/data solutions
- Improve the efficiency of data preparation reporting and analytical workflows
Key Success Measures
- Improved consistency accuracy and reliability of commercial data and reporting.
- Reduced manual reporting effort and duplicated analysis.
- Increased adoption of standardized dashboards and reporting frameworks.
- Stronger analytical support for Commercial leaders and CE Business Partners.
- Improved data-driven decision-making in commercial planning and execution.
Required Experience and Capabilities
- 5-10 years of relevant experience in SAP ERP data analytics commercial analytics business intelligence or life sciences business environments
- Solid working knowledge of Power BI Excel SQL data visualization and automation/data transformation tools such as Python Databricks Power Query or Power Automate
- Good understanding of data governance data quality management and reporting standardization
- Familiarity with AI-enabled analytics predictive analytics or automated insight generation is a plus
- Experience collaborating with cross-functional teams such as Operations Finance Supply Chain and Commercial
- Effective communication skills with the ability to explain data logic and insights to both technical and business stakeholders
- Proactive and with a problem-solving mindset and the ability to manage multiple priorities
Required Experience:
Manager
Employment Type : Full-Time
Experience: years
Vacancy: 1