Intern

Job Summary Key Responsibilities

• Manage end-to-end client engagements, including data extraction, analysis, insight generation, deliverable preparation, and client communication.
• Design and implement data analytics solutions using business firmographics, financial data, market intelligence, and other relevant datasets.
• Process, transform, and analyze large volumes of structured and unstructured data using advanced analytical tools and technologies to deliver high-quality outcomes.
• Develop actionable insights, reports, dashboards, and visualizations that support strategic business decision-making.
• Collaborate with cross-functional teams to understand business requirements, ensure timely project delivery, and maintain high standards of quality and accuracy.

Key Requirements

• Exposure to data engineering concepts and best practices, including data architecture, data management, data governance, and data quality frameworks.
• Prior internship or project experience is preferred.
• Strong technical proficiency in SQL, Python, and advanced spreadsheet tools, along with hands-on experience in Power BI, Databricks, PySpark, and AI/ML technologies.
• Familiarity with data processing, analytics, visualization, and reporting tools to support business intelligence and decision-making initiatives.
• Excellent verbal and written communication skills in English, with the ability to effectively collaborate and engage with global stakeholders and cross-functional teams.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.