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Job Description

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 needed.


Requirements :


- 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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