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Senior Business Intelligence Analyst

3 weeks ago

Udaipur, Rajasthan, India beBeeDataExpert Full time ₹ 15,00,000 - ₹ 25,00,000

We are seeking a highly skilled and motivated data expert to join our team in a key analytics role. This individual will have the opportunity to work on a wide range of projects, from data analysis and visualization to business intelligence and reporting.

About the Role:

  • This is an exciting opportunity for someone who wants to drive business growth through insightful data-driven decision-making.
  • You will be responsible for performing in-depth analysis across multiple business functions, including marketing, finance, operations, and customer service.
  • Clean, transform, and analyze data using SQL, Python, and other data tools to uncover trends and support business decisions.
  • Develop and maintain dashboards, reports, and data models to present insights in a clear, actionable format.
  • Collaborate with stakeholders to understand business goals and deliver data-driven recommendations.
  • Evaluate data quality, consistency, and governance across datasets and reporting assets.
  • Utilize tools like Microsoft Fabric and Azure Data Services for data integration and exploration.
  • Familiarity with advanced analytics techniques such as machine learning, forecasting, or statistical modeling is a plus.

Your Skills and Qualifications:

  • Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related field.
  • 6+ years of experience in data analysis or business intelligence.
  • Proficient in SQL, Python, and other data manipulation tools.
  • Experience working with cloud-based data platforms such as Azure and Microsoft Fabric.
  • Strong problem-solving, critical thinking, and data storytelling skills.
  • Ability to translate complex data findings into clear business insights.
  • Familiarity with Power BI is a plus.

About Our Expectations:

  1. Work effectively in a collaborative environment to meet project deadlines and deliver high-quality results.
  2. Stay up-to-date with industry trends and emerging technologies to continuously improve data analysis processes.
  3. Demonstrate a commitment to excellence and continuous improvement in all aspects of your work.