Data Analyst
5 days ago
**About the Role**
At EXL, we are seeking an experienced Data Analyst to join our team. As a key member of our business intelligence team, you will play a crucial role in designing and maintaining ETL pipelines, generating actionable reports, and ensuring data integrity to support business decision-making.
Key Responsibilities:
- Design, develop, and maintain scalable ETL workflows to extract data from various sources, transform it based on business requirements, and load it into data warehouses or databases.
- Write complex SQL queries to extract, manipulate, and analyze data for reporting and ad-hoc business requests.
- Create, optimize, and automate reports and dashboards using Power BI, or AWS QuickSight to deliver actionable insights to stakeholders.
- Understand how to leverage AWS services (e.g., S3, Redshift, Glue, Lambda) to store, process, and manage data efficiently in a cloud-based ecosystem.
- Ensure data accuracy, consistency, and quality throughout the ETL and reporting processes by implementing validation checks and troubleshooting issues.
- Work closely with data engineers, business analysts, and stakeholders to understand data needs and deliver tailored solutions.
- Monitor and optimize ETL processes and queries for performance and scalability.
- Maintain clear documentation of ETL processes, data models, and reporting logic for future reference and team knowledge sharing.
Requirements:
- 3+ years of experience in ETL development, data analysis, or a similar role.
- Advanced proficiency in writing and optimizing complex SQL queries (e.g., joins, subqueries, window functions).
- Hands-on experience with AWS services such as S3, Redshift, Glue, Lambda, or Athena for data storage and processing.
- Proficiency in visualizations and dashboards using Power BI.
- Familiarity with scripting languages like Python or Bash for automation and data manipulation is a plus.
- Strong understanding of data warehousing, data modeling, and ETL best practices.
- Ability to troubleshoot data issues and optimize processes efficiently.
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