
Senior Data Analytics Specialist
6 days ago
This role is ideal for a skilled business intelligence professional who can drive data-driven decision making across the organization.
The Business Intelligence Professional will develop and manage dashboards, reports, and data visualizations to provide actionable insights. They will analyze sales trends, market performance, and customer behavior to identify opportunities and risks. The incumbent will also work closely with cross-functional teams to understand their data needs and provide tailored solutions.
- Key Responsibilities:
- Data Analysis and Reporting:
- 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:
- 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 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 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 such as IQVIA, 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 and good to have.
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