Lead Data Analyst

3 weeks ago


Hyderabad, India Sampoorna Consultants Pvt. Ltd Full time

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. (ref:hirist.tech)


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