
Data Driven Insights Lead
4 hours ago
Our team is looking for a skilled Business Intelligence Analyst to drive business excellence through data-driven insights.
As a Business Intelligence Analyst, you will play a crucial role in empowering leaders in the Life Sciences industry to make informed decisions. You will combine advanced analytics with deep technical expertise and domain knowledge to deliver cutting-edge insights.
Key Responsibilities:
- Data Analysis and Reporting
- Develop and manage dashboards, reports, and data visualizations using BI tools like Tableau.
- Analyze sales trends, market performance, and customer behavior to identify opportunities and risks.
- Provide actionable insights to support strategic decision-making for marketing campaigns, product launches, and portfolio management.
- Data 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 ETL processes.
- Strategic Collaboration
- 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 BI initiatives.
- Market and Competitive 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.
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