Data Strategist

2 days ago

Jaipur, Rajasthan, India beBeeData Full time US$ 90,000 - US$ 1,25,000

As a seasoned data strategist, you will empower business leaders across the Life Sciences industries to make informed decisions through actionable insights.

We are seeking an expert in business intelligence to join our team. The ideal candidate will have a strong background in data analysis and reporting, as well as experience with BI tools like Tableau.

The successful candidate will be responsible for developing and managing dashboards, reports, and data visualizations that provide valuable insights into sales trends, market performance, and customer behavior.

  • 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 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.

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