Lead Data Analyst

2 weeks ago

Hyderabad, Telangana, India Sampoorna Consultants Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Responsibilities

  • Lead and manage the end-to-end implementation of BI solutions across all customer projects, ensuring timely and high-quality delivery.
  • Oversee and optimize ETL processes to ensure efficient data handling, storage, and retrieval within the BI framework.
  • Manage daily operations, including bug tracking, prioritizing enhancements, and coordinating resolutions with both the technical team and customer contacts.
  • Develop and manage internal reports and dashboards to support decision-making, providing insights into KPIs and operational metrics for key stakeholders.
  • Coordinate with customers to plan and execute BI-related activities for each new release, ensuring minimal disruption and seamless upgrades.
  • Oversee the health and performance of BI systems, working with the infrastructure team to ensure data integrity, speed, and reliability.
  • Work closely with Product Engineering and Customer Success teams to understand requirements, align on priorities, and provide feedback for product improvements.
  • Troubleshoot technical issues and provide solutions to ensure smooth operation of

QuickSight dashboards.

  • Identify opportunities to improve data analysis processes and enhance overall data analytics capabilities.
  • Ensure comprehensive documentation and knowledge transfer, providing training and guidance to internal teams and end-users as :
  • Bachelors or Masters degree in a Relevant Field such as Data Science, Business Analytics, Information Systems, or Computer Science.
  • 6+ years of progressively increasing professional experience in Data Analytics, with at least 3+

years in a senior-level role.

  • 3+ years experience in Amazon QuickSight and SQL.
  • Strong experience in building visualizations, dashboards, and reports using QuickSight.
  • Strong SQL skills for data extraction, transformation, and loading from various data sources.
  • Experience working closely with stakeholders to understand needs and define analytic

requirements.

  • Experience with data warehousing concepts and ETL processes.
  • Cloud Computing and AWS Experience.
  • Excellent Communication and Collaboration, Analytical and Problem-Solving Skills.

)

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