Data-Driven Strategist

2 days ago

Bhavnagar, Gujarat, India beBeeBusinessIntelligence Full time US$ 90,000 - US$ 1,20,000

At the heart of our organization lies a profound passion for data-driven decision making. As a Senior Associate, Business Intelligence, you will play a pivotal role in empowering leaders across the Life Sciences industries to make informed choices.

Our cutting-edge analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management, enabling us to deliver actionable insights to our clients.

We help optimize business strategy and operations by combining technical expertise with domain knowledge, ensuring that our solutions are tailored to meet the unique needs of our clients.

We enable commercial excellence through analytical guidance, providing valuable insights to support strategic decision-making for marketing campaigns, product launches, and portfolio management.

Key Responsibilities:

  • 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.

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 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.

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