
Chief Data Strategist
4 days ago
We empower leaders across the Life Sciences industries to make better data-driven decisions.
Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise.
We enable commercial excellence by delivering analytical guidance to the field through SalesOps, our cloud-based sales planning and operations platform.
Key Responsibilities:- Develop and manage dashboards, reports, and data visualizations using Business Intelligence tools.
- Analyze sales trends, market performance, and customer behavior to identify opportunities and risks.
- Provide insights to support strategic decision-making for marketing campaigns, product launches, and portfolio management.
- Ensure data accuracy, integrity, and security by collaborating with IT and data engineering teams.
- Manage large datasets from internal and external sources, including CRM systems, market intelligence platforms, and supply chain databases.
- Support the implementation and optimization of data warehouses and Extract, Transform, Load processes.
- Work closely with cross-functional teams like marketing, sales, R&D, and operations to understand their data needs and provide tailored solutions.
- Act as a liaison between technical teams and business stakeholders to ensure alignment on Business Intelligence initiatives.
- Monitor market trends, regulatory changes, and competitor activities to provide actionable intelligence.
- Support forecasting and scenario planning based on industry insights.
- Identify and implement best practices in Business Intelligence processes to enhance efficiency and accuracy.
- Train team members and stakeholders on the use of Business Intelligence tools and data interpretation.
- 3-5 years of experience in Business Intelligence or data analytics, preferably in the pharmaceutical industry.
- Proficiency in Business Intelligence tools (Tableau, PowerBI, and advanced Excel skills).
- Strong SQL and data modeling capabilities; experience with Python or R is a plus.
- Solid understanding of pharmaceutical market dynamics, including knowledge of pharma market data sources such as IMS Health or Symphony Health is a must.
- Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical audiences.
- Strong problem-solving skills and a proactive approach to addressing business challenges.
- Familiarity with statistical analysis and predictive modeling techniques is a plus.
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