
Senior Business Analyst
4 days ago
As a seasoned Business Intelligence professional, you will be instrumental in driving data-driven decision making across the Life Sciences industries.
Your role will involve leveraging advanced data analytics and software platforms to support commercial operations, real world evidence, and cloud information management.
You will optimize business strategy and operations by delivering cutting-edge analytics from diverse data sources combined with deep technical expertise.
You will enable commercial excellence by providing analytical guidance to the field through our cloud-based sales planning and operations platform.
Data Analysis:
- Data analysis is at the core of this role. You will develop and manage dashboards, reports, and data visualizations using BI tools such as Tableau. 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.
Data Management:
- You will 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 ETL processes.
Cross-functional Collaboration:
- Work closely with cross-functional teams such as 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 BI initiatives.
Market Intelligence:
- Monitor market trends, regulatory changes, and competitor activities to provide actionable intelligence. Support forecasting and scenario planning based on industry insights.
Process Improvement:
- Identify and implement best practices in BI processes to enhance efficiency and accuracy. Train team members and stakeholders on the use of BI tools and data interpretation.
Qualifications:
- 3-5 years of experience in business intelligence or data analytics preferably in the pharmaceutical industry. Proficiency in BI 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. 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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