Job Overview

The Data Analyst Intern position at TwiLearn offers a remote internship experience across locations such as Pune, Mumbai, Kolkata, Bangalore, Noida, Gurgaon, and Hyderabad. This role suits a fresher interested in expanding their analytical skills. Interns will leverage cutting-edge data analysis techniques while gaining exposure to real-world projects, equipping them with essential skills for IT roles in data analytics.

Qualifications and Skills

• Proficiency in data analysis is a must, enabling interns to evaluate complex datasets to aid in business decision-making (Mandatory skill).
• Statistical analysis experience is essential to help translate data into actionable insights using statistical methods (Mandatory skill).
• Capability in data visualization to create comprehensive charts and reports that convey data-driven narratives (Mandatory skill).
• Sound knowledge of SQL to manipulate and extract data from relational databases efficiently.
• Advanced Excel skills are necessary for data organization, aggregation, and summary for insightful analytics.
• Strong critical thinking skills to assess situations and provide solutions based on data interpretation.
• Problem-solving ability to address and decipher statistical hitches in datasets.
• Keen attention to detail in ensuring data accuracy and maintaining database integrity is imperative.

Roles and Responsibilities

• Assist in collecting, processing, and analyzing large data sets to support business objectives.
• Create insightful reports and visualizations to communicate data findings effectively to stakeholders.
• Collaborate with senior analysts to support data-driven decision-making processes.
• Utilize SQL and Excel to perform data manipulation and aggregation tasks efficiently.
• Support the design and implementation of data aggregation systems and processes.
• Maintain data integrity and validation through rigorous checks and standards verification.
• Engage in peer learning to enhance technical skills and stay updated with industry trends.
• Document data processes, methodologies, and findings for future reference and training purposes.