Data Analyst

5 days ago


Gurgaon, Haryana, India EXL Full time

**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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