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