Support EXL’s Analytics or Data Management team in executing end-to-end data lifecycle activities including data acquisition, profiling, cleansing, transformation, and governance.
Assist in maintaining and improving data quality frameworks, metadata repositories, and data lineage documentation across client and internal systems.
Collaborate with data engineers and business analysts to design efficient data pipelines and ensure consistent data standards across platforms.
Participate in project discussions to understand business requirements and translate them into actionable data management tasks and process improvements.
Requirements
Currently pursuing a Bachelor’s degree (Junior or Senior year) or Master’s degree in Data Science, Computer Science, Information Systems, Statistics, Engineering, or a related discipline.
Strong understanding of data management, analytics, AI, or data science principles including data modeling, integration, and governance.
Hands-on experience or coursework in SQL, Python, data visualization (Tableau, Power BI), and familiarity with cloud platforms (AWS, Azure, or GCP) is preferred.
Excellent attention to detail with strong problem-solving and analytical thinking skills.
Effective communicator with the ability to collaborate across technical and business teams in a fast-paced, client-driven environment.
Tech Stack
AWS
Azure
Cloud
Google Cloud Platform
Python
SQL
Tableau
Benefits
hands-on training in the latest data management tools, technologies, and methodologies
structured mentorship program providing ongoing guidance and career coaching